Linguistically-motivated automatic morphological analysis for Wordnet enrichment

Thomas Richens

Research output: Chapter in Book/Report/Conference proceedingConference 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
CountryUnited Kingdom
CityMilan
Period1/05/091/05/09

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    Richens, T. (2009). Linguistically-motivated automatic morphological analysis for Wordnet enrichment. In Natural 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 (pp. 36-45)