Linguistically-motivated automatic morphological analysis for Wordnet enrichment

Thomas Richens

    Research output: Chapter in Book/Published conference outputConference publication

    Abstract

    Performance of NLP systems can only be as good as the lexical resources they employ. By modelling the evolved structure of language, there is scope for morpho-semantic enrichment of these resources. A set of linguistically-informed morphological rules is formulated from the CatVar database, implemented in a Java model of WordNet and tested on suffixation and desuffixation. Overgeneration and undergeneration are measured and an approach to improving these by using multilingual resources is proposed.

    Original languageEnglish
    Title of host publicationNatural Language Processing and Cognitive Science - Proceedings of the 6th International Workshop on Natural Language Processing and Cognitive Science - NLPCS 2009 In Conjunction with ICEIS 2009
    Pages36-45
    Number of pages10
    Publication statusPublished - 1 Dec 2009
    Event6th International Workshop on Natural Language Processing and Cognitive Science - NLPCS 2009 In Conjunction with ICEIS 2009 - Milan, United Kingdom
    Duration: 1 May 20091 May 2009

    Conference

    Conference6th International Workshop on Natural Language Processing and Cognitive Science - NLPCS 2009 In Conjunction with ICEIS 2009
    Country/TerritoryUnited Kingdom
    CityMilan
    Period1/05/091/05/09

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