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What transfers in morphological inflection? Experiments with analogical models ...
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Formalizing Inflectional Paradigm Shape with Information Theory
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In: Proceedings of the Society for Computation in Linguistics (2021)
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The Paradigm Discovery Problem
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In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
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Interpreting Sequence-to-Sequence Models for Russian Inflectional Morphology
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In: Proceedings of the Society for Computation in Linguistics (2020)
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Stop the Morphological Cycle, I Want to Get Off: Modeling the Development of Fusion
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In: Proceedings of the Society for Computation in Linguistics (2020)
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Normalization may be ineffective for phonetic category learning ...
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Normalization may be ineffective for phonetic category learning
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In: Proceedings of the Society for Computation in Linguistics (2019)
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Lexical Networks in !Xung and Ju
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Abstract:
We investigate the lexical network properties of the large phoneme inventory Southern African languages Mangetti Dune !Xung and Ju|'hoansi as they compare to European languages. We conduct analyses over a range of lexicon sizes in search of disparities in the mental lexicons of the native speakers. We find no substantial disparity within these analyses so we continue on to simulate data ("pseudolexicons") with varying levels of phonotactic structure which find that the lexical network properties of !Xung and Ju diverge from European languages when fewer phonotactic constraints are retained. We conclude that lexical network properties are representative of an underlying cognitive structure which is necessary for efficient word retrieval and that the phonotactics of these languages are shaped by a selective pressure which preserve network properties within this cognitively useful range. ; Funded by NSF 1422987 ; No embargo ; Academic Major: Computer Science and Engineering
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Keyword:
!Xung; Ju|'hoansi; network structure; phonology
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URL: http://hdl.handle.net/1811/84552
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Giving Good Directions: Order of Mention Reflects Visual Salience
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Giving Good Directions: Order of Mention Reflects Visual Salience
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POS induction with distributional and morphological information using a distance-dependent Chinese Restaurant Process
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Where's Wally: the influence of visual salience on referring expression generation
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Structured generative models for unsupervised named-entity clustering
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