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1
Strong Generative Capacity of Morphological Processes
In: Proceedings of the Society for Computation in Linguistics (2021)
Abstract: Morphological processes are generally computable with 1-way finite-state transducers. However, we show that 1-way transducers do not capture the strong generative capacity of certain morphological analyses for more complex processes, including mobile affixation, infixation, and partial reduplication. As diagnostics for strong generative capacity, we use origin semantics and order-preservation. These analyze the input-output correspondences generated by finite-state transducers and their corresponding logical transductions. For some linguistic analyses of these complex processes, their strong generative capacity is matched by more expressive grammars, such as non-order-preserving transductions and their corresponding 2-way finite-state transducers.
Keyword: Computational Linguistics; finite-state; generative capacity; morphology; transducers
URL: https://scholarworks.umass.edu/scil/vol4/iss1/22
https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1202&context=scil
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2
Computational Restrictions on Interative Prosodic Processes
In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2020 Annual Meeting on Phonology ; 2377-3324 (2021)
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3
Finite-State Locality in Semitic Root-and-Pattern Morphology
In: University of Pennsylvania Working Papers in Linguistics (2020)
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4
Multi-Input Strict Local Functions for Tonal Phonology
In: Proceedings of the Society for Computation in Linguistics (2020)
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5
Multi-Input Strictly Local Functions for Templatic Morphology
In: Proceedings of the Society for Computation in Linguistics (2020)
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6
Probing RNN Encoder-Decoder Generalization of Subregular Functions using Reduplication
In: Proceedings of the Society for Computation in Linguistics (2020)
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