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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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Abstract:
Historical linguists observe that many fusional (unsegmentable) morphological structures developed from agglutinative (segmentable) predecessors. Such changes may result when learners fail to acquire a phonological alternation, and instead, “chunk” the altered versions of morphemes and memorize them as underlying representations. We present a Bayesian model of this process, which learns which morphosyntactic properties are chunked together, what their underlying representations are, and what phonological processes apply to them. In simulations using artificial data, we provide quantitative support to two claims about agglutinative and fusional structures: that optional morphological markers discourage fusion from developing, but that stress-based vowel reduction encourages it.
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Keyword:
agglutination; computational linguistics; diachronic change; fusion; morphology
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URL: https://scholarworks.umass.edu/scil/vol3/iss1/40 https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1134&context=scil
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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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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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