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Paper Information

lrec2014-main-686

Morphological parsing of Swahili using crowdsourced lexical resources

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Title

Morphological parsing of Swahili using crowdsourced lexical resources

Abstract

We describe a morphological analyzer for the Swahili language, written in an extension of XFST/LEXC intended for the easy declaration of morphophonological patterns and importation of lexical resources. Our analyzer was supplemented extensively with data from the Kamusi Project (kamusi.org), a user-contributed multilingual dictionary. Making use of this resource allowed us to achieve wide lexical coverage quickly, but the heterogeneous nature of user-contributed content also poses some challenges when adapting it for use in an expert system.


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