Modelling concepts and semantic change
Taking advantage of an extension in the call for papers for Sheffield’s Digital Humanities Congress this September (8-10), Linguistic DNA is now looking to put together one or more panels examining aspects of text analytics with longitudinal data. Possible dimensions include distributional semantics, using historical data
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In 2016, Dr Kris Heylen (KU Leuven) spent a week in Sheffield as a HRI Visiting Fellow, demonstrating techniques for studying change in “lexical concepts” and encouraging the Linguistic DNA team to articulate the distinctive features of the “discursive concept”.
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In February 2016, Linguistic DNA hosted Dr Kris Heylen as an HRI Visiting Fellow, strengthening our links with KU Leuven’s Quantitative Lexicology and Variational Linguistics research group. This post outlines the scheduled public events. Next week, the Linguistic DNA project
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Introduction In the previous post, I presented the theoretical and philosophical underpinnings of distributional methods in corpus semantics. In this post, I touch on the practical background that has shaped these methods. Means of analysis The emergence of contemporary distributional
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Introduction When discussing proximity data and distributional methods in corpus semantics, it is common for linguists to refer to Firth’s famous “dictum”, ‘you shall know a word by the company it keeps!’ In this post, I look a bit more
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Distributional Semantics II: What does distribution tell us about semantic relations? In a previous post, I outlined a range of meanings that have been discussed in conjunction with distributional analysis. The Linguistic DNA team is assessing what exactly it can
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Distributional Semantics I: What might distribution tell us about word meaning? In a previous post, I asked ‘What is the link between corpus data showing lexical usage, on the one hand, and lexical semantics or concepts, on the other?’ In
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