Data-Driven Morphological Analysis and Disambiguation for Morphologically Rich Languages and Universal Dependencies

COLING 2016 Amir MoreReut Tsarfaty

Parsing texts into universal dependencies (UD) in realistic scenarios requires infrastructure for the morphological analysis and disambiguation (MA{\&}D) of typologically different languages as a first tier. MA{\&}D is particularly challenging in morphologically rich languages (MRLs), where the ambiguous space-delimited tokens ought to be disambiguated with respect to their constituent morphemes, each morpheme carrying its own tag and a rich set features... (read more)

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