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	<rdf:li rdf:resource="https://arxiv.org/abs/1612.09268"/>
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	<rdf:li rdf:resource="http://arxiv.org/abs/1310.7782"/>
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	<rdf:li rdf:resource="http://arxiv.org/abs/1205.5407"/>
	<rdf:li rdf:resource="http://www.replicatedtypo.com/evolang-coverage-more-on-linguistic-replicators/4931.html"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1007.3254"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1005.4803"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1005.0950"/>
	<rdf:li rdf:resource="http://anawiki.essex.ac.uk/phrasedetectives/"/>
	<rdf:li rdf:resource="http://hellenisteukontos.blogspot.com/2009/09/your-fractal-analysis-of-esperanto-does.html"/>
	<rdf:li rdf:resource="http://www.eurekalert.org/pub_releases/2008-08/gato-gat082808.php"/>
	<rdf:li rdf:resource="http://polyglot.lss.wisc.edu/dare/dare.html"/>
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	<rdf:li rdf:resource="http://languagelog.ldc.upenn.edu/nll/?p=217"/>
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	<rdf:li rdf:resource="http://laudatortemporisacti.blogspot.com/2008/02/chiasmus-part-i.html"/>
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	<rdf:li rdf:resource="http://ask.metafilter.com/61367/Mixed-Soda-Name"/>
	<rdf:li rdf:resource="http://itre.cis.upenn.edu/~myl/languagelog/archives/004414.html"/>
	<rdf:li rdf:resource="http://laudatortemporisacti.blogspot.com/2007/04/don-imus-aptronym.html"/>
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	<rdf:li rdf:resource="http://logiston.com/oddends/"/>
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  </channel><item rdf:about="https://compass.onlinelibrary.wiley.com/doi/10.1111/lnc3.12529">
    <title>Phonetic cues to depression: A sociolinguistic perspective - Hall‐Lew - 2024 - Language and Linguistics Compass - Wiley Online Library</title>
    <dc:date>2024-07-21T15:10:08+00:00</dc:date>
    <link>https://compass.onlinelibrary.wiley.com/doi/10.1111/lnc3.12529</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Phonetic data are used in several ways outside of the core field of phonetics. This paper offers the perspective of one such field, sociophonetics, towards another, the study of acoustic cues to clinical depression. While sociophonetics is interested in how, when, and why phonetic variables cue information about the world, the study of acoustic cues to depression is focused on how phonetic variables can be used by medical professionals as tools to diagnosis. The latter is only interested in identifying phonetic cues to depression, while the former is interested in how phonetic variation cues anything at all. While the two fields fundamentally differ with respect to ontology, epistemology, and methodology, I argue that there are, nonetheless, possible avenues for future engagement, collaboration, and investigation. Ultimately, both fields need to engage with Crip Linguistics for any successful intervention on the relationship between speech and depression.

]]></description>
<dc:subject>linguistics mental-health depression diagnosis pattern-discovery to-understand consider:filter-discovery</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:a99351332978/</dc:identifier>
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<item rdf:about="https://tedunderwood.com/2021/10/21/latent-spaces-of-culture/">
    <title>Mapping the latent spaces of culture – The Stone and the Shell</title>
    <dc:date>2021-11-07T13:57:46+00:00</dc:date>
    <link>https://tedunderwood.com/2021/10/21/latent-spaces-of-culture/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[The technology at the center of this roundtable doesn’t yet have a consensus name. Some observers point to an architecture, the Transformer.[1] “On the Dangers of Stochastic Parrots” focuses on size and discusses “large language models.”[2] A paper from Stanford emphasizes applications: “foundation models” are those that can adapt “to a wide range of downstream tasks.”[3] Each definition identifies a different feature of recent research as the one that matters. To keep that question open, I’ll refer here to “deep neural models of language,” a looser category.

However we define them, neural models of language are already changing the way we search the web, write code, and even play games. Academics outside computer science urgently need to discuss their role. “On the Dangers of Stochastic Parrots” deserves credit for starting the discussion—especially since publication required tenacity and courage. I am honored to be part of an event exploring its significance for the humanities.]]></description>
<dc:subject>machine-learning generative-art linguistics deep-learning natural-language-processing rather-interesting digital-humanities you-got-aesthetics-in-my-criticism</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:generative-art"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
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<item rdf:about="https://arxiv.org/abs/2012.05208">
    <title>[2012.05208] On the Binding Problem in Artificial Neural Networks</title>
    <dc:date>2021-05-19T10:58:09+00:00</dc:date>
    <link>https://arxiv.org/abs/2012.05208</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Contemporary neural networks still fall short of human-level generalization, which extends far beyond our direct experiences. In this paper, we argue that the underlying cause for this shortcoming is their inability to dynamically and flexibly bind information that is distributed throughout the network. This binding problem affects their capacity to acquire a compositional understanding of the world in terms of symbol-like entities (like objects), which is crucial for generalizing in predictable and systematic ways. To address this issue, we propose a unifying framework that revolves around forming meaningful entities from unstructured sensory inputs (segregation), maintaining this separation of information at a representational level (representation), and using these entities to construct new inferences, predictions, and behaviors (composition). Our analysis draws inspiration from a wealth of research in neuroscience and cognitive psychology, and surveys relevant mechanisms from the machine learning literature, to help identify a combination of inductive biases that allow symbolic information processing to emerge naturally in neural networks. We believe that a compositional approach to AI, in terms of grounded symbol-like representations, is of fundamental importance for realizing human-level generalization, and we hope that this paper may contribute towards that goal as a reference and inspiration.
]]></description>
<dc:subject>neural-networks machine-learning general-AI ontology philosophy-of-engineering representation linguistics individuation do-what-I-want-not-what-I-say</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:f39c84d7ea7c/</dc:identifier>
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<item rdf:about="https://docs.aws.amazon.com/polly/latest/dg/supportedtags.html#phoneme-tag">
    <title>Supported SSML Tags - Amazon Polly</title>
    <dc:date>2021-04-25T11:58:22+00:00</dc:date>
    <link>https://docs.aws.amazon.com/polly/latest/dg/supportedtags.html#phoneme-tag</link>
    <dc:creator>Vaguery</dc:creator><dc:subject>linguistics speech-synthesis AWS software-development-is-not-programming library API</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:ea3129305e8d/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:AWS"/>
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<item rdf:about="http://languagehat.com/curses-of-the-middle-east-and-north-africa/">
    <title>languagehat.com : Curses of the Middle East and North Africa.</title>
    <dc:date>2021-03-26T20:25:48+00:00</dc:date>
    <link>http://languagehat.com/curses-of-the-middle-east-and-north-africa/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Via bulbul’s Facebook feed, Romano-Arabica XIX (2019): Curses and Profanity in the Languages and Cultures of the Middle East and North Africa (editors in charge of this issue: George Grigore & Gabriel Bițună). It’s 259 pages long, with articles ranging from Lucia Avallone, “Literary Creativity and Curses. A Study Case: ’an takūn ‘Abbās al-‘Abd, by ’Aḥmad al-‘Āydī” to Jonas Sibony, “Curses and Profanity in Moroccan Judeo-Arabic and What’s Left of it in the Hebrew Sociolect of Israelis from Moroccan Origins,” plus Miscellanea and book reviews. The whole thing is online at the link, and you can download it freely. I’m immediately interested in Gabriel M. Rosenbaum, “Curses, Insults and Taboo Words in Egyptian Arabic: in Daily Speech and in Written Literature,” so I’m off to take a look at it. My deep appreciation to bulbul for continuing to post good stuff to FB!

]]></description>
<dc:subject>linguistics nanohistory may-contain-swears to-read</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:14ed7591102a/</dc:identifier>
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<item rdf:about="http://languagehat.com/there-its/">
    <title>languagehat.com : There it’s!</title>
    <dc:date>2021-03-19T13:58:10+00:00</dc:date>
    <link>http://languagehat.com/there-its/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[To investigate this, the authors analyzed data from the Scots Syntax Atlas, a new online digital resource for the study of Scots. The atlas provides original data on hundreds of grammatical phenomena from more than 140 locations across Scotland, gathered in face-to-face interviews by community-insider fieldworkers. The authors found out that many varieties of Scots also allow a kind of locative discovery expression where speakers repeat the word there (or here), so they say things like There it’s there!. And it turns out that all speakers who can say There it’s! can also say There it’s there!, but not vice versa.

]]></description>
<dc:subject>linguistics grammar rule-discovery inference rather-interesting now-do-it-for-programs</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:e34a66bd18d2/</dc:identifier>
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<item rdf:about="https://www.jehsmith.com/1/2020/05/the-yakut-verbal-voice-system.html">
    <title>The Yakut Verbal Voice System - Justin Erik Halldór Smith</title>
    <dc:date>2021-02-21T01:16:55+00:00</dc:date>
    <link>https://www.jehsmith.com/1/2020/05/the-yakut-verbal-voice-system.html</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[In English, there are two voices, active and passive, and a given verb may occur in either of these two. For example, “He ate” and “He was eaten” both employ the verb “to eat” in one of its forms. In Yakut, by contrast, there are five principal voices, as well as other voice-like verb forms, and in general a given verb is used in only one of the voices. A verb in a given voice is identified by characteristic endings, and is usually related in meaning to, though different from, similar verbs with different characteristic endings belonging to different voices. Related verbs in different voices, in other words, have a relation less like that between “to eat” and “to be eaten”, and more like that between, say, “to respond” and “to correspond”, or between “to speak” and “to bespeak”.

]]></description>
<dc:subject>linguistics diversity grammar out-of-the-box mutual-reciprocal-voice</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:a10d3162c4c9/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:out-of-the-box"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:mutual-reciprocal-voice"/>
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</item>
<item rdf:about="http://languagelog.ldc.upenn.edu/nll/?p=36753">
    <title>Language Log » o ai aaa oa ueui</title>
    <dc:date>2019-03-30T12:43:56+00:00</dc:date>
    <link>http://languagelog.ldc.upenn.edu/nll/?p=36753</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Some useful advice:

aiauee uiiu ouio ea ao eueaiueoieui i eaoeoi e uoioooaaeoeiua iuo ui ioeuui aaio oiaeauau eii eoio iiioee oui oueoaueuaaiuu uee e oiiae ia uu eao

let's see you while you are here to go to your friends and keep them in touch with you here and then you will be able to keep your eye on it.]]></description>
<dc:subject>machine-learning translation natural-language-processing linguistics a-guess-is-as-good-as-a-try</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:44a4ee7cbb50/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:natural-language-processing"/>
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</item>
<item rdf:about="https://popula.com/2019/02/20/vegetables-dont-exist/">
    <title>Vegetables Don’t Exist – Popula</title>
    <dc:date>2019-03-27T12:14:22+00:00</dc:date>
    <link>https://popula.com/2019/02/20/vegetables-dont-exist/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Today, the production side of the vegetable experience is the domain of hobbyists and career farmers. Everyone else has a case of what botanists call plant blindness: the inability to recognize plants native to the local biome or dinner plate by sight. And a national epidemic of botanical-visual impairment can inhibit informed opinions on vegetable matters like agricultural subsidies, genetically modified foods, and seed patents (let alone broader, more complex issues like climate change). On a personal level, it could can to a lifelong disconnect from a huge portion of the biosphere we rely on to live.

]]></description>
<dc:subject>language linguistics vocabulary representation the-mangle-of-history food what-gets-named-gets-eaten</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:20c1ff05bfdc/</dc:identifier>
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<item rdf:about="https://arxiv.org/abs/1802.06764">
    <title>[1802.06764] Stability of items: an experimental test</title>
    <dc:date>2018-10-20T11:10:15+00:00</dc:date>
    <link>https://arxiv.org/abs/1802.06764</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[The words of a language are randomly replaced in time by new ones, but long since it was observed that words corresponding to some items (meanings) are less frequently replaced then others. Usually, the rate of replacement for a given item is not directly observable, but it is inferred by the estimated stability which, on the contrary, is observable. This idea goes back a long way in the lexicostatistical literature, nevertheless nothing ensures that it gives the correct answer. The family of Romance languages allows for a direct test of the estimated stabilities against the replacement rates since the protolanguage (Latin) is known and the replacement rates can be explicitly computed. The output of the test is threefold: first, we prove that the standard approach which tries to infer the replacement rates trough the estimated stabilities is sound; second, we are able to rewrite the fundamental formula of Glottochronology for a non universal replacement rate (a rate which depends on the item), third, we give indisputable evidence that the stability ranking is far to be the same for different families of languages. This last result is also supported by comparison with the Malagasy family of dialects. As a side result we also provide some evidence that Vulgar Latin and not Late Classical Latin is at the root of modern Romance languages.]]></description>
<dc:subject>linguistics chronology rather-interesting simulation statistics heterogeneity it's-more-complicated-than-you-think to-write-about cladistics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:d17322757572/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:chronology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:simulation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:heterogeneity"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:it's-more-complicated-than-you-think"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-write-about"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:cladistics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://shadycharacters.co.uk/2015/11/miscellany-67-irony-restoration/">
    <title>Miscellany № 67: irony’s restoration – Shady Characters</title>
    <dc:date>2018-08-20T12:36:53+00:00</dc:date>
    <link>https://shadycharacters.co.uk/2015/11/miscellany-67-irony-restoration/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Irony is for the dis­tinc­tion of the mean­ing and in­ten­tion of any words, when they are un­der­stood by way of Sar­casm or scoff, or in a con­trary sense to that which they nat­ur­ally sig­ni­fie: And though there be not (for ought I know) any note de­signed for this in any of the In­sti­tuted Lan­guages, yet that is from their de­fi­ciency and im­per­fec­tion: For if the chief force of Iron­ies do con­sist in Pro­nun­ci­ation, it will plainly fol­low, that there ought to be some mark for dir­ec­tion, when are to be so pro­nounced.
]]></description>
<dc:subject>language nanohistory utopianism linguistics esoterica via:twitter</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:685fac5e5eae/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:language"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nanohistory"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:utopianism"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:esoterica"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:via:twitter"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://qz.com/1056319/what-is-the-alt-right-a-linguistic-data-analysis-of-3-billion-reddit-comments-shows-a-disparate-group-that-is-quickly-uniting/">
    <title>What is the alt right? A linguistic data analysis of 3 billion Reddit comments shows a disparate group that is quickly uniting — Quartz</title>
    <dc:date>2017-09-02T15:17:29+00:00</dc:date>
    <link>https://qz.com/1056319/what-is-the-alt-right-a-linguistic-data-analysis-of-3-billion-reddit-comments-shows-a-disparate-group-that-is-quickly-uniting/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Over the last year and a half, these types of trolls have formed a central identity around Trumpism and have started to coalesce. Bored teenagers and gamers are becoming indoctrinated into hard-line anti-globalism, conspiracy theories, and Islamophobia, and it’s happening right before our eyes, on a publicly accessible forum.
The_Donald contains all of these different groups, marked out by their overlapping community memberships and the words that they (and only they) use. They’ve created an in-group language consisting of words like “MAGA” (Make America Great Again) and “based,” a word appropriated from rap culture. The latter is taken to mean “being yourself” and originated in the crack era. Then there is “centipede” (usually shortened to “pede”), a self-referential term originating from the viral video series “Can’t Stump the Trump,” which was popularized when the linked video was tweeted by Trump himself.
But the keystone of this vernacular is “cuck.” A shortening of “cuckold,” an old word used to refer to men who allow their partners to sleep with other men (and often find sexual gratification in the humiliation of it), its use has become the sine qua non of alt-right group membership.
]]></description>
<dc:subject>linguistics fascism politics social-norms social-psychology social-media</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:0b2b738a4a4e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:fascism"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:politics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-norms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-psychology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social-media"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arxiv.org/abs/1612.09268">
    <title>[1612.09268] The ontogeny of discourse structure mimics the development of literature</title>
    <dc:date>2017-05-09T16:18:21+00:00</dc:date>
    <link>https://arxiv.org/abs/1612.09268</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Discourse varies with age, education, psychiatric state and historical epoch, but the ontogenetic and cultural dynamics of discourse structure remain to be quantitatively characterized. To this end we investigated word graphs obtained from verbal reports of 200 subjects ages 2-58, and 676 literary texts spanning ~5,000 years. In healthy subjects, lexical diversity, graph size, and long-range recurrence departed from initial near-random levels through a monotonic asymptotic increase across ages, while short-range recurrence showed a corresponding decrease. These changes were explained by education and suggest a hierarchical development of discourse structure: short-range recurrence and lexical diversity stabilize after elementary school, but graph size and long-range recurrence only stabilize after high school. This gradual maturation was blurred in psychotic subjects, who maintained in adulthood a near-random structure. In literature, monotonic asymptotic changes over time were remarkable: While lexical diversity, long-range recurrence and graph size increased away from near-randomness, short-range recurrence declined, from above to below random levels. Bronze Age texts are structurally similar to childish or psychotic discourses, but subsequent texts converge abruptly to the healthy adult pattern around the onset of the Axial Age (800-200 BC), a period of pivotal cultural change. Thus, individually as well as historically, discourse maturation increases the range of word recurrence away from randomness.
]]></description>
<dc:subject>oh-my psychology linguistics cognition Big-Theories ontology-recapitulates-Haeckel-again to-write-about</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:d2cb20ce2977/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:oh-my"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:psychology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:cognition"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:Big-Theories"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:ontology-recapitulates-Haeckel-again"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-write-about"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arxiv.org/abs/1701.09123">
    <title>[1701.09123] Robust Multilingual Named Entity Recognition with Shallow Semi-Supervised Features</title>
    <dc:date>2017-02-12T11:54:39+00:00</dc:date>
    <link>https://arxiv.org/abs/1701.09123</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[We present a multilingual Named Entity Recognition approach based on a robust and general set of features across languages and datasets. Our system combines shallow local information with clustering semi-supervised features induced on large amounts of unlabeled text. Understanding via empirical experimentation how to effectively combine various types of clustering features allows us to seamlessly export our system to other datasets and languages. The result is a simple but highly competitive system which obtains state of the art results across five languages and twelve datasets. The results are reported on standard shared task evaluation data such as CoNLL for English, Spanish and Dutch. Furthermore, and despite the lack of linguistically motivated features, we also report best results for languages such as Basque and German. In addition, we demonstrate that our method also obtains very competitive results even when the amount of supervised data is cut by half, alleviating the dependency on manually annotated data. Finally, the results show that our emphasis on clustering features is crucial to develop robust out-of-domain models. The system and models are freely available to facilitate its use and guarantee the reproducibility of results.
]]></description>
<dc:subject>natural-language-processing classification algorithms machine-learning rather-interesting linguistics corpus learning-from-data nudge-targets consider:feature-discovery data-fusion</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:0d5dd9d19980/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:natural-language-processing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:classification"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:corpus"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:learning-from-data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:consider:feature-discovery"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:data-fusion"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://languagelog.ldc.upenn.edu/nll/?p=29422">
    <title>Language Log » …&quot;such matters as Opinion, not real worth, gives a value to&quot;</title>
    <dc:date>2016-12-17T13:37:07+00:00</dc:date>
    <link>http://languagelog.ldc.upenn.edu/nll/?p=29422</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[In that sentence there 10 nouns with initial capitals (Adventures, World, Encouragement, Lot, Opinion, Chance, Proposition, Gain, Charms, Value) and 4 with initial lower-case letters (advantage, worth, value, things). There's also one adjective with initial capitalization (Profitable), and 10 with initial lower-case letters (highest, uncertain, real, fitting, fickle, kind, certain, substantial, cheap, contemptible).

]]></description>
<dc:subject>capitalism grammar rather-interesting open-questions linguistics usage-and-grammar-sittin-in-a-tree</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:75b71fb59869/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:capitalism"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:grammar"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:open-questions"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:usage-and-grammar-sittin-in-a-tree"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://languagehat.com/harvard-sentences/">
    <title>languagehat.com : Harvard Sentences.</title>
    <dc:date>2015-08-29T12:56:42+00:00</dc:date>
    <link>http://languagehat.com/harvard-sentences/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[The Harvard Sentences are a set of phonetically balanced sentences used for testing audio circuits. If you’ve ever wanted to hear them spoken aloud, the Open Speech Repository has you covered: American English, British English. They also have files in Mandarin, French, and Hindi. (Thanks, Trevor!)

]]></description>
<dc:subject>performance-measure linguistics acoustics engineering-design nudge-targets</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:8e23fd46ee2d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:performance-measure"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:acoustics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:engineering-design"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1405.1359">
    <title>[1405.1359] Latent semantics of action verbs reflect phonetic parameters of intensity and emotional content</title>
    <dc:date>2015-03-08T10:37:46+00:00</dc:date>
    <link>http://arxiv.org/abs/1405.1359</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Conjuring up our thoughts, language reflects statistical patterns of word co-occurrences which in turn come to describe how we perceive the world. Whether counting how frequently nouns and verbs combine in Google search queries, or extracting eigenvectors from term document matrices made up of Wikipedia lines and Shakespeare plots, the resulting latent semantics capture not only the associative links which form concepts, but also spatial dimensions embedded within the surface structure of language. As both the shape and movements of objects have been found to be associated with phonetic contrasts already in toddlers, this study explores whether articulatory and acoustic parameters may likewise differentiate the latent semantics of action verbs. Selecting 3 x 20 emotion, face, and hand related verbs known to activate premotor areas in the brain, their mutual cosine similarities were computed using latent semantic analysis LSA, and the resulting adjacency matrices were compared based on two different large scale text corpora; HAWIK and TASA. Applying hierarchical clustering to identify common structures across the two text corpora, the verbs largely divide into combined mouth and hand movements versus emotional expressions. Transforming the verbs into their constituent phonemes, the clustered small and large size movements appear differentiated by front versus back vowels corresponding to increasing levels of arousal. Whereas the clustered emotional verbs seem characterized by sequences of close versus open jaw produced phonemes, generating up- or downwards shifts in formant frequencies that may influence their perceived valence. Suggesting, that the latent semantics of action verbs reflect parameters of intensity and emotional polarity that appear correlated with the articulatory contrasts and acoustic characteristics of phonemes
]]></description>
<dc:subject>linguistics statistics rather-odd strangely-Victorian-in-tone</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:fc9bdacd6e52/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-odd"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:strangely-Victorian-in-tone"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://languagelog.ldc.upenn.edu/nll/?p=17854#comment-1491317">
    <title>Language Log » &quot;They called for more structure&quot;</title>
    <dc:date>2015-02-27T15:50:40+00:00</dc:date>
    <link>http://languagelog.ldc.upenn.edu/nll/?p=17854#comment-1491317</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Researchers with a scruffy-AI mindset may think that's just fine. Either they suspect that brains themselves are much scruffier than linguists admit, or they have no opinion about brains and simply want to engineer a working product.

]]></description>
<dc:subject>philosophy-of-science philosophy-of-engineering nice linguistics but-also-artificial-intelligence theory-and-practice-sitting-in-a-tree the-mangle-in-practice</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:ad456dacd09a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:philosophy-of-science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:philosophy-of-engineering"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nice"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:but-also-artificial-intelligence"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:theory-and-practice-sitting-in-a-tree"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:the-mangle-in-practice"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1408.1121">
    <title>[1408.1121] Dialectics of Counting and the Mathematics of Vagueness</title>
    <dc:date>2015-02-23T11:53:00+00:00</dc:date>
    <link>http://arxiv.org/abs/1408.1121</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[New concepts of rough natural number systems are introduced in this research paper from both formal and less formal perspectives. These are used to improve most rough set-theoretical measures in general Rough Set theory (\textsf{RST}) and to represent rough semantics. The foundations of the theory also rely upon the axiomatic approach to granularity for all types of general \textsf{RST} recently developed by the present author. The latter theory is expanded upon in this paper. It is also shown that algebraic semantics of classical \textsf{RST} can be obtained from the developed dialectical counting procedures. Fuzzy set theory is also shown to be representable in purely granule-theoretic terms in the general perspective of solving the contamination problem that pervades this research paper. All this constitutes a radically different approach to the mathematics of vague phenomena and suggests new directions for a more realistic extension of the foundations of mathematics of vagueness from both foundational and application points of view. Algebras corresponding to a concept of \emph{rough naturals} are also studied and variants are characterised in the penultimate section.
]]></description>
<dc:subject>mathematics philosophy rough-sets rather-interesting to-understand linguistics modeling logic</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:2e09c0f4db08/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:mathematics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:philosophy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rough-sets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-understand"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:modeling"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:logic"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1502.03520">
    <title>[1502.03520] Random Walks on Context Spaces: Towards an Explanation of the Mysteries of Semantic Word Embeddings</title>
    <dc:date>2015-02-16T13:50:20+00:00</dc:date>
    <link>http://arxiv.org/abs/1502.03520</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[The papers of Mikolov et al. 2013 as well as subsequent works have led to dramatic progress in solving word analogy tasks using semantic word embeddings. This leverages linear structure that is often found in the word embeddings, which is surprising since the training method is usually nonlinear. There were attempts ---notably by Levy and Goldberg and Pennington et al.--- to explain how this linear structure arises. The current paper points out the gaps in these explanations and provides a more complete explanation using a loglinear generative model for the corpus that directly models the latent semantic structure in words. The novel methodological twist is that instead of trying to fit the best model parameters to the data, a rigorous mathematical analysis is performed using the model priors to arrive at a simple closed form expression that approximately relates co-occurrence statistics and word embeddings. This expression closely corresponds to ---and a bit simpler than--- the existing training methods, and leads to good solutions to analogy tasks. Empirical support is provided also for the validity of the modeling assumptions. 
]]></description>
<dc:subject>natural-language-processing linguistics models search-algorithms rather-interesting branching-processes probability-theory</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:39854588c9b3/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:natural-language-processing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:models"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:search-algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:branching-processes"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:probability-theory"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1301.4938">
    <title>[1301.4938] A type theoretical framework for natural language semantics: the Montagovian generative lexicon</title>
    <dc:date>2015-02-12T11:17:25+00:00</dc:date>
    <link>http://arxiv.org/abs/1301.4938</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[We present a framework, named the Montagovian generative lexicon, for computing the semantics of natural language sentences, expressed in many sorted higher order logic. Word meaning is depicted by lambda terms of second order lambda calculus (Girard's system F) with base types including a type for propositions and many types for sorts of a many sorted logic. This framework is able to integrate a proper treatment of lexical phenomena into a Montagovian compositional semantics, including the restriction of selection which imposes the nature of the arguments of a predicate, and the possible adaptation of a word meaning to some contexts. Among these adaptations of a word's sense to the context, ontological inclusions are handled by an extension of system F with coercive subtyping that is introduced in the present paper. The benefits of this framework for lexical pragmatics are illustrated on meaning transfers and coercions, on possible and impossible copredication over different senses, on deverbal ambiguities, and on "fictive motion". Next we show that the compositional treatment of determiners, quantifiers, plurals,... are finer grained in our framework. We then conclude with the linguistic, logical and computational perspectives opened by the Montagovian generative lexicon.
]]></description>
<dc:subject>&quot;idiosyncratic-representation&quot; linguistics formal-languages logic rather-interesting rather-odd natural-language-processing grammar nudge-targets representation</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:c2d230960fe7/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:&quot;idiosyncratic-representation&quot;"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:formal-languages"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:logic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-odd"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:natural-language-processing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:grammar"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:representation"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1410.4445">
    <title>[1410.4445] Patterns in the English Language: Phonological Networks, Percolation and Assembly Models</title>
    <dc:date>2014-11-28T21:42:53+00:00</dc:date>
    <link>http://arxiv.org/abs/1410.4445</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[In this paper we extend previous analyses of the phonological network (PN) for English by carrying out principled comparisons to suitable null models, either via percolation approaches or via network growth models. In contrast to previous work we mainly focus on null models that reproduce lower order characteristics of the real dataset. We find that artificial networks that match connectivity properties of the English PN are exceedingly rare, suggesting that real world word repertoires have been assembled through the addition of new words obtained through small modifications of old words. Our null models are able to explain the "power-law-like" part of the degree distributions and generally retrieve qualitative features of the PN such as high clustering, high assortativity coefficient, and small-world characteristics. However, the quantitative analysis and comparison to expectations from null models point out significant differences in detail, strongly suggesting the presence of additional constraints in word assembly which are not mere artifacts of the embedding space. Key constraints we identify are the avoidance of large degrees, avoidance of triangles, and avoidance of large non percolating clusters.
]]></description>
<dc:subject>linguistics graph-theory phonemes big-data rather-interesting nudge-targets natural-language-processing speech-recognition</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:0fb8b652251c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:graph-theory"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:phonemes"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:big-data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rather-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:natural-language-processing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:speech-recognition"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://languagelog.ldc.upenn.edu/nll/?p=15525">
    <title>Language Log » cactus wawa: the strange tale of a strange character</title>
    <dc:date>2014-11-05T12:27:11+00:00</dc:date>
    <link>http://languagelog.ldc.upenn.edu/nll/?p=15525</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[It is crucial to observe that the Chinese writing system is essentially open ended.  That is why, from the time it first arose around the 13th century BC until now, the size of system has continued to mushroom from about 1,500 different graphs to more than 80,000 discrete graphs.  It is possible for people to create a new character for their own name or for some other purpose, even out of pure whimsy.  Of course, in a strongly autocratic, bureaucratic state such as the Qin Dynasty (221-206 BC) or the People's Republic of China, such a new character is not likely to gain public currency beyond the individual who made it up for him/herself.  But I think that in a freer, more open society such as Taiwan, such a newly coined character has a greater chance of gaining currency among society beyond the person who dreamed it up.

]]></description>
<dc:subject>language linguistics puzzles object-lessons-in-translation philosophy something-deep-in-this</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:ace17d499348/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:language"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:puzzles"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:object-lessons-in-translation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:philosophy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:something-deep-in-this"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1401.5693">
    <title>[1401.5693] Sentence Compression as Tree Transduction</title>
    <dc:date>2014-04-24T10:36:30+00:00</dc:date>
    <link>http://arxiv.org/abs/1401.5693</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[This paper presents a tree-to-tree transduction method for sentence compression. Our model is based on synchronous tree substitution grammar, a formalism that allows local distortion of the tree topology and can thus naturally capture structural mismatches. We describe an algorithm for decoding in this framework and show how the model can be trained discriminatively within a large margin framework. Experimental results on sentence compression bring significant improvements over a state-of-the-art model.
]]></description>
<dc:subject>linguistics natural-language-processing algorithms nudge-targets quite-interesting summarization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:d6eea709b09f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:natural-language-processing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:quite-interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:summarization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://languagelog.ldc.upenn.edu/nll/?p=9431">
    <title>Language Log » Sentence diagramming</title>
    <dc:date>2014-01-03T14:04:58+00:00</dc:date>
    <link>http://languagelog.ldc.upenn.edu/nll/?p=9431</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Three cheers for Stephen Watkins Clark and his bubbles! Nearly two centuries later, where would modern linguistics have been without him? And even more importantly, where would those countless generations of bright school-kids (and teachers) have found their fun?

]]></description>
<dc:subject>grammar sentence-diagramming linguistics pedagogy models-and-modes cultural-dynamics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:f859b744ae41/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:grammar"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:sentence-diagramming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:pedagogy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:models-and-modes"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:cultural-dynamics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1310.7782">
    <title>[1310.7782] Cognitive biases and language universals</title>
    <dc:date>2013-11-03T12:53:03+00:00</dc:date>
    <link>http://arxiv.org/abs/1310.7782</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Language universals have been longly attributed to an innate Universal Grammar. An alternative explanation states that linguistic universals emerged independently in every language in response to shared cognitive, though non language-specific, biases. A computational model has recently shown how this could be the case, focusing on the paradigmatic example of the universal properties of color naming patterns, and producing results in accurate agreement with the experimental data. Here we investigate thoroughly the role of a cognitive bias in the framework of this model. We study how, and to what extent, the structure of the bias can influence the corresponding linguistic universal patterns. We show also that the cultural history of a group of speakers introduces population-specific constraints that act against the uniforming pressure of the cognitive bias, and we clarify the interplay between these two forces. We believe that our simulations can help to shed light on the possible mechanisms at work in the evolution of language, as well as to provide a reference for further theoretical investigations.
]]></description>
<dc:subject>linguistics cognition bias experiment interesting against-universality</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:0de3cea5e162/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:cognition"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:bias"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:experiment"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:interesting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:against-universality"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://rogerpielkejr.blogspot.com/2013/02/what-is-basic-research.html">
    <title>Roger Pielke Jr.'s Blog: What is Basic Research?</title>
    <dc:date>2013-02-22T11:50:21+00:00</dc:date>
    <link>http://rogerpielkejr.blogspot.com/2013/02/what-is-basic-research.html</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[It is motherhood, apple pie and all that is good. It is, as Brian Cox would say, axiomatically a good thing. As such, "basic research" as a political symbol has proven to be a big obstacle to science policy research. After all, why question something that is axiomatically good? What are you, anti-science? Further, the inherent virtue of basic research means that precise knowledge of mechanisms of that goodness are not needed.
]]></description>
<dc:subject>science public-policy linguistics that-word research</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:25f3fe473958/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:public-policy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:that-word"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:research"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.newyorker.com/reporting/2012/12/24/121224fa_fact_foer?currentPage=4">
    <title>Joshua Foer: John Quijada and Ithkuil, the Language He Invented : The New Yorker</title>
    <dc:date>2012-12-23T13:00:20+00:00</dc:date>
    <link>http://www.newyorker.com/reporting/2012/12/24/121224fa_fact_foer?currentPage=4</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA['These linguistic hobbyists call themselves “conlangers” (referring to “constructed language”) and hold an occasional conclave called the Language Creation Conference. It was at the second of those conferences, in 2007, on the campus of U.C. Berkeley, that I first met Quijada. Amid two dozen men and seven women dressed in kilts, top hats, and kimonos, the quietly aloof Quijada stuck out like an umlaut in English. Broad-chested and bearded, he sat by himself in the back row of the auditorium, wearing a camouflage trucker hat, a brown polo shirt, and cargo pants. “John commands respect,” I was told by David Peterson, the president of the Language Creation Society and the inventor of Dothraki, the language spoken by a race of pseudo-Mongol nomadic warriors in the HBO series “Game of Thrones.” (Dothraki is now heard by more people each week than Yiddish, Navajo, Inuit, Basque, and Welsh combined.) In 2008, Peterson awarded Ithkuil the Smiley Award for the best invented language of the year. “Few have or, I’m sure, ever will, produce anything as complete and compelling as Ithkuil,” he proclaimed in the award presentation.']]></description>
<dc:subject>linguistics invention invented-languages creativity the-muse-she-has-aspoken</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:7afc951362ef/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:invention"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:invented-languages"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:creativity"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:the-muse-she-has-aspoken"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1205.5407">
    <title>[1205.5407] FASTSUBS: An Efficient Admissible Algorithm for Finding the Most Likely Lexical Substitutes Using a Statistical Language Model</title>
    <dc:date>2012-06-09T10:32:09+00:00</dc:date>
    <link>http://arxiv.org/abs/1205.5407</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["Lexical substitutes have found use in the context of word sense disambiguation, unsupervised part-of-speech induction, paraphrasing, machine translation, and text simplification. Using a statistical language model to find the most likely substitutes in a given context is a successful approach, but the cost of a naive algorithm is proportional to the vocabulary size. This paper presents the Fastsubs algorithm which can efficiently and correctly identify the most likely lexical substitutes for a given context based on a statistical language model without going through most of the vocabulary. The efficiency of Fastsubs makes large scale experiments based on lexical substitutes feasible. For example, it is possible to compute the top 10 substitutes for each one of the 1,173,766 tokens in Penn Treebank in about 6 hours on a typical workstation. The same task would take about 6 days with the naive algorithm. An implementation of the algorithm and a dataset with the top 100 substitutes of each token in the WSJ section of the Penn Treebank are available from the author's website at this http URL"]]></description>
<dc:subject>linguistics data-cleaning algorithms nudge-targets classification</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:f3498a110013/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:data-cleaning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:classification"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.replicatedtypo.com/evolang-coverage-more-on-linguistic-replicators/4931.html">
    <title>Evolang coverage: More on linguistic replicators | Replicated Typo</title>
    <dc:date>2012-03-21T11:01:02+00:00</dc:date>
    <link>http://www.replicatedtypo.com/evolang-coverage-more-on-linguistic-replicators/4931.html</link>
    <dc:creator>Vaguery</dc:creator><dc:subject>sounds-and-forms replicate not-meaning linguistics Sperberism theory-and-practice-sitting-in-a-tree</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:42eb9a3fb31e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:sounds-and-forms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:replicate"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:not-meaning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:Sperberism"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:theory-and-practice-sitting-in-a-tree"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1007.3254">
    <title>[1007.3254] Distinguishing Fact from Fiction: Pattern Recognition in Texts Using Complex Networks</title>
    <dc:date>2010-08-01T15:13:26+00:00</dc:date>
    <link>http://arxiv.org/abs/1007.3254</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["We establish concrete mathematical criteria to distinguish between different kinds of written storytelling, fictional and non-fictional. Specifically, we constructed a semantic network from both novels and news stories, with $N$ independent words as vertices or nodes, and edges or links allotted to words occurring within $m$ places of a given vertex; we call $m$ the word distance. We then used measures from complex network theory to distinguish between news and fiction, studying the minimal text length needed as well as the optimized word distance $m$. The literature samples were found to be most effectively represented by their corresponding power laws over degree distribution $P(k)$ and clustering coefficient $C(k)$; we also studied the mean geodesic distance, and found all our texts were small-world networks.…"
]]></description>
<dc:subject>nudge-targets computational-linguistics linguistics classification machine-learning statistics natural-language-processing</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:60f986177aa1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:computational-linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:classification"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:natural-language-processing"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1005.4803">
    <title>[1005.4803] Hirsch index as a network centrality measure</title>
    <dc:date>2010-07-29T14:35:46+00:00</dc:date>
    <link>http://arxiv.org/abs/1005.4803</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["…The h index is compared with the Degree centrality (a local measure), the Betweenness and Eigenvector centralities (two non-local measures) in the case of a biological network (Yeast interaction protein-protein network) and a linguistic network (Moby Thesaurus II). In both networks, the Hirsch index has poor correlation with Betweenness centrality but correlates well with Eigenvector centrality, specially for the more important nodes that are relevant for ranking purposes, say in Search Engine Optimization. In the thesaurus network, the h index seems even to outperform the Eigenvector centrality measure as evaluated by simple linguistic criteria."
]]></description>
<dc:subject>network-theory linguistics search-engines algorithms nudge-targets classification machine-learning</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:5b7b3aa7851e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:network-theory"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:search-engines"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge-targets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:classification"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:machine-learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1005.0950">
    <title>[1005.0950] On Duplication in Mathematical Repositories</title>
    <dc:date>2010-05-09T13:41:36+00:00</dc:date>
    <link>http://arxiv.org/abs/1005.0950</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["Building a repository of proof-checked mathematical knowledge is without any doubt a lot of work, and besides the actual formalization process there also is the task of maintaining the repository. Thus it seems obvious to keep a repsoitory as small as possible, in particular each piece of mathematical knowledge should be formalized only once. In this paper, however, we claim that it might be reasonable or even necessary to duplicate knowledge in a mathematical repository. We analyze different situations and reasons for doing so and provide a number of examples supporting our thesis."
]]></description>
<dc:subject>parsimony pragmatism library2.0 mathematics linguistics that-Gödel-fellow-said-something-relevant</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:36f3e3e44d07/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:parsimony"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:pragmatism"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:library2.0"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:mathematics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:that-Gödel-fellow-said-something-relevant"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://anawiki.essex.ac.uk/phrasedetectives/">
    <title>Phrase Detectives - The AnaWiki annotation game</title>
    <dc:date>2010-01-18T13:12:33+00:00</dc:date>
    <link>http://anawiki.essex.ac.uk/phrasedetectives/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["Lovers of literature, grammar and language, this is the place where you can work together to improve future generations of technology. By indicating relationships between words and phrases you will help to create a resource that is rich in linguistic information.
Simply register a username and password and you can get started."
]]></description>
<dc:subject>linguistics crowdsourcing collaboration serious-games English corpus annotation</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:5aa8c65cfec6/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:crowdsourcing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:collaboration"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:serious-games"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:English"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:corpus"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:annotation"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://hellenisteukontos.blogspot.com/2009/09/your-fractal-analysis-of-esperanto-does.html">
    <title>Ἡλληνιστεύκοντος: Your Fractal Analysis of Esperanto does not add up</title>
    <dc:date>2009-09-07T17:21:05+00:00</dc:date>
    <link>http://hellenisteukontos.blogspot.com/2009/09/your-fractal-analysis-of-esperanto-does.html</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["As the review said, one of the things McMahon points out in the book is, there is a regrettable tendency in numerical approaches to linguistics to just put the raw data into the Analysatrons, and see what happens. And she said, in a more measured and thoughtful way than I just did, that this is nonsense: a linguist still needs to make sense of the input, identify what correlations are worth pursuing, and filter out what methodologically needs filtering out.

I mean, word lengths and word frequencies? Even Plato had a more sophisticated understanding of language structure than that; and that's not saying much."
]]></description>
<dc:subject>linguistics computational-methods aptly-harsh everything-is-made-of-physics</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:6055eb081953/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:computational-methods"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:aptly-harsh"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:everything-is-made-of-physics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.eurekalert.org/pub_releases/2008-08/gato-gat082808.php">
    <title>Great Ape Trust graduate student's paper sheds light on bonobo language</title>
    <dc:date>2008-08-31T16:27:07+00:00</dc:date>
    <link>http://www.eurekalert.org/pub_releases/2008-08/gato-gat082808.php</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["After applying conversational analysis tools, Pedersen asserted that language is more than the simple act of transferring information, but a conversational interaction between active participants. Language-competent bonobos use lexigrams, which are made up of arbitrary symbols that represent words, as the basis for conversations with humans.

Pedersen said linguistic aspects of the conversation included turn taking, negotiation, pauses and repetition, and went far beyond information sharing made possible through the use of lexigrams symbols.

"She was using language to get at what she wanted," Pedersen said. "She is very, very clever and is fully capable of following the conversation the same way a human does. This tells me that Panbanisha's knowledge of language is far beyond understanding the words, to understanding how to use them in a conversation to get what she wants."
]]></description>
<dc:subject>language anthropology linguistics apes speciesism analysis</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:796905cbc988/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:language"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:anthropology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:apes"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:speciesism"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:analysis"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://polyglot.lss.wisc.edu/dare/dare.html">
    <title>DARE WEBPAGE</title>
    <dc:date>2008-07-13T11:45:49+00:00</dc:date>
    <link>http://polyglot.lss.wisc.edu/dare/dare.html</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Somebody was asking about this in a conversation. Ed?
]]></description>
<dc:subject>DARE local language dictionary closed books geography regionalism project reference culture linguistics</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:f59738abd92d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:DARE"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:local"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:language"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:dictionary"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:closed"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:books"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:geography"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:regionalism"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:project"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:reference"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:culture"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://googleresearch.blogspot.com/2006/08/all-our-n-gram-are-belong-to-you.html">
    <title>Official Google Research Blog: All Our N-gram are Belong to You</title>
    <dc:date>2008-07-01T19:27:05+00:00</dc:date>
    <link>http://googleresearch.blogspot.com/2006/08/all-our-n-gram-are-belong-to-you.html</link>
    <dc:creator>Vaguery</dc:creator><dc:subject>data-analysis data-mining n-grams Google nudge analytics dataset language linguistics machine-learning genetic-programming learning-from-data</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:26c2335741d0/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:data-analysis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:data-mining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:n-grams"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:Google"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nudge"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:analytics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:dataset"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:language"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:machine-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:genetic-programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:learning-from-data"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://languagelog.ldc.upenn.edu/nll/?p=217">
    <title>Language Log » How can you fail to read only the word California …</title>
    <dc:date>2008-06-05T23:49:07+00:00</dc:date>
    <link>http://languagelog.ldc.upenn.edu/nll/?p=217</link>
    <dc:creator>Vaguery</dc:creator><dc:subject>dementia linguistics cognition language personal caregiving aphasia</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:85dfccacdcea/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:dementia"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:cognition"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:language"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:personal"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:caregiving"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:aphasia"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.synsig.org/index.php/Blizzard_Challenge_2008">
    <title>Blizzard Challenge 2008 - SynSIG</title>
    <dc:date>2008-05-26T10:06:25+00:00</dc:date>
    <link>http://www.synsig.org/index.php/Blizzard_Challenge_2008</link>
    <dc:creator>Vaguery</dc:creator><dc:subject>via:languagelog speech synthesis simulation sound linguistics algorithms affordances</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:ef73b3f5ae17/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:via:languagelog"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:speech"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:synthesis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:simulation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:sound"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:affordances"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://laudatortemporisacti.blogspot.com/2008/02/chiasmus-part-i.html">
    <title>Laudator Temporis Acti: Chiasmus, Part I</title>
    <dc:date>2008-02-04T12:16:00+00:00</dc:date>
    <link>http://laudatortemporisacti.blogspot.com/2008/02/chiasmus-part-i.html</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[recombination
]]></description>
<dc:subject>linguistics rhetoric classics figures-of-speech writing</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:29f72c863c5c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:rhetoric"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:classics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:figures-of-speech"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:writing"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://ampersandvirgule.blogspot.com/2008/01/language-vs-punctuation.html">
    <title>words / myth / ampers &amp; virgule: Language vs. punctuation</title>
    <dc:date>2008-01-16T11:32:44+00:00</dc:date>
    <link>http://ampersandvirgule.blogspot.com/2008/01/language-vs-punctuation.html</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["The last time I went to Boston—Massachusetts—was in the summer."
]]></description>
<dc:subject>punctuation editing grammar language correctness standards cultural-norms linguistics quiz</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:a6ef4a66cd98/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:punctuation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:editing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:grammar"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:language"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:correctness"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:standards"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:cultural-norms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:quiz"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://itre.cis.upenn.edu/~myl/languagelog/archives/005323.html">
    <title>Language Log: Après Fish, le déluge?</title>
    <dc:date>2008-01-16T00:07:08+00:00</dc:date>
    <link>http://itre.cis.upenn.edu/~myl/languagelog/archives/005323.html</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[One wants to know how set boundaries may be made fluid again. One wants, I think, to let people do what they enjoy. There are enough of us for that.
]]></description>
<dc:subject>via:cshalizi disintermediation (?) academia education humanities linguistics scholarship</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:d3924629e7f2/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:via:cshalizi"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:disintermediation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:(?)"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:academia"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:education"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:humanities"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:scholarship"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.philol.msu.ru/~otipl/new/main/mol/samples-2003-en.php">
    <title>Sample linguistic problems :: МГУ :: Филфак :: ОТиПЛ</title>
    <dc:date>2007-08-26T13:46:41+00:00</dc:date>
    <link>http://www.philol.msu.ru/~otipl/new/main/mol/samples-2003-en.php</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[via rfrank at the Distributed Proofreaders community
]]></description>
<dc:subject>linguistics testing problems challenges Olympiad questions explanation answer-key</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:7f3094b4627e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:testing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:problems"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:challenges"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:Olympiad"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:questions"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:explanation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:answer-key"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://ask.metafilter.com/61367/Mixed-Soda-Name">
    <title>Mixed Soda Name? | Ask MetaFilter</title>
    <dc:date>2007-08-05T13:19:21+00:00</dc:date>
    <link>http://ask.metafilter.com/61367/Mixed-Soda-Name</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[I ate a delicious mariposa plum the other day from Produce Station, very ripe, and it tasted //exactly// like a "suicide" Mister Misty used to taste. ////Exactly////.
]]></description>
<dc:subject>nostalgia food fruit cooking taste Dairy-Queen Produce-Station plums language dialect regional linguistics</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:c95f0a3608a1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:nostalgia"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:food"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:fruit"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:cooking"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:taste"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:Dairy-Queen"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:Produce-Station"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:plums"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:language"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:dialect"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:regional"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://itre.cis.upenn.edu/~myl/languagelog/archives/004414.html">
    <title>Language Log: What a lawyer means by &quot;fact&quot;, &quot;conclusion&quot; and &quot;opinion&quot;</title>
    <dc:date>2007-04-17T12:36:11+00:00</dc:date>
    <link>http://itre.cis.upenn.edu/~myl/languagelog/archives/004414.html</link>
    <dc:creator>Vaguery</dc:creator><dc:subject>term-of-art linguistics language meaning definition cultural-norms jargon</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:c18031af20e6/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:term-of-art"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:language"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:meaning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:definition"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:cultural-norms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:jargon"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://laudatortemporisacti.blogspot.com/2007/04/don-imus-aptronym.html">
    <title>Laudator Temporis Acti: Don Imus: Aptronym?</title>
    <dc:date>2007-04-16T13:02:09+00:00</dc:date>
    <link>http://laudatortemporisacti.blogspot.com/2007/04/don-imus-aptronym.html</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Now, that's pedantry!
]]></description>
<dc:subject>pedantry current-events Don-Imus classics etymology linguistics Spanish Latin 18C</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:8b05a65a7d5e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:pedantry"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:current-events"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:Don-Imus"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:classics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:etymology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:Spanish"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:Latin"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:18C"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://itre.cis.upenn.edu/~myl/languagelog/archives/004410.html">
    <title>Language Log: But is it a recursive combination?</title>
    <dc:date>2007-04-16T11:27:35+00:00</dc:date>
    <link>http://itre.cis.upenn.edu/~myl/languagelog/archives/004410.html</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["The Shadows' own name for themselves is 10,000 letters long, and unpronounceable by many," says Wikipedia....
]]></description>
<dc:subject>linguistics marketing humor symbolism pronunciation branding intellectual-property</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:ee516dc46d70/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:marketing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:humor"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:symbolism"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:pronunciation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:branding"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:intellectual-property"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://itre.cis.upenn.edu/~myl/languagelog/archives/004384.html">
    <title>Language Log: Low Erdős-number linguists</title>
    <dc:date>2007-04-09T02:54:08+00:00</dc:date>
    <link>http://itre.cis.upenn.edu/~myl/languagelog/archives/004384.html</link>
    <dc:creator>Vaguery</dc:creator><dc:subject>Erdős number social networks linguistics science publication collaboration</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:e3a0e140a5fe/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:Erdős"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:number"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:social"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:publication"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:collaboration"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://logiston.com/oddends/">
    <title>Odd Ends</title>
    <dc:date>2007-04-03T11:35:09+00:00</dc:date>
    <link>http://logiston.com/oddends/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Two linguistic just-so stories about te follies of English pronunciation. Blame the floppy-throated Frenchies.
]]></description>
<dc:subject>linguistics history digitization Distributed-Proofreaders 19C funny pronunciation spelling English</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:1ac23381932a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:digitization"/>
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</item>
<item rdf:about="http://www.google.com/search?q=%22elephant+in+the+*%22">
    <title>&quot;elephant in the *&quot; - Google Search</title>
    <dc:date>2007-03-12T12:21:03+00:00</dc:date>
    <link>http://www.google.com/search?q=%22elephant+in+the+*%22</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Where to hide an elephant
]]></description>
<dc:subject>linguistics cliché Google wildcards count</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:aa023504962c/</dc:identifier>
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<item rdf:about="http://mirabilis.ca/2007/02/27/anyone-here-speak-cromarty-fisher/">
    <title>Mirabilis.ca » Blog Archive » Anyone here speak Cromarty fisher?</title>
    <dc:date>2007-02-27T12:32:09+00:00</dc:date>
    <link>http://mirabilis.ca/2007/02/27/anyone-here-speak-cromarty-fisher/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[How many local languages and cants have come and gone, unremarked?
]]></description>
<dc:subject>linguistics language extinction diversity</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:92b5524e5156/</dc:identifier>
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