Unsupervised Disambiguation of Syncretism in Inflected Lexicons

NAACL-HLT, pp. 548-553, 2018.

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Abstract:

Lexical ambiguity makes it difficult to compute various useful statistics of a corpus. A given word form might represent any of several morphological feature bundles. One can, however, use unsupervised learning (as in EM) to fit a model that probabilistically disambiguates word forms. We present such an approach, which employs a neural ne...More

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