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Author

Brian Dillon

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A LSTM language model learns Hindi-Urdu case-agreement interactions, and has a linear encoding of case

A two-layer LSTM language model trained on 250M morphemes of Hindi data can capture the relatively complex interaction between case and agreement in Hindi-Urdu, and it is shown that this model encodes case-marking linearly, implementing a geometrically intuitive and inter-pretable syntactic processing mechanism.

Satoru Ozaki, Rajesh Bhatt, Brian Dillon · 2 citations

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