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When context is and isn’t helpful: A corpus study of naturalistic speech [<Journal>]
Hitczenko, Kasia [Verfasser]; Mazuka, Reiko [Verfasser]; Elsner, Micha [Verfasser].
DNB Subject Category Language
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2
The Paradigm Discovery Problem ...
Erdmann, Alexander; Elsner, Micha; Wu, Shijie. - : ETH Zurich, 2020
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3
The Paradigm Discovery Problem
In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
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4
Interpreting Sequence-to-Sequence Models for Russian Inflectional Morphology
In: Proceedings of the Society for Computation in Linguistics (2020)
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5
Stop the Morphological Cycle, I Want to Get Off: Modeling the Development of Fusion
In: Proceedings of the Society for Computation in Linguistics (2020)
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.
Keyword: agglutination; computational linguistics; diachronic change; fusion; morphology
URL: https://scholarworks.umass.edu/scil/vol3/iss1/40
https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1134&context=scil
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