A Language-Independent Feature Schema for Inflectional Morphology

John Sylak-Glassman,Christo Kirov,David Yarowsky,R. Que

Published 2015 in Annual Meeting of the Association for Computational Linguistics

ABSTRACT

This paper presents a universal morphological feature schema that represents the finest distinctions in meaning that are expressed by overt, affixal inflectional morphology across languages. This schema is used to universalize data extracted from Wiktionary via a robust multidimensional table parsing algorithm and feature mapping algorithms, yielding 883,965 instantiated paradigms in 352 languages. These data are shown to be effective for training morphological analyzers, yielding significant accuracy gains when applied to Durrett and DeNero’s (2013) paradigm learning framework.

PUBLICATION RECORD

  • Publication year

    2015

  • Venue

    Annual Meeting of the Association for Computational Linguistics

  • Publication date

    2015-07-01

  • Fields of study

    Linguistics, Computer Science

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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