Linguistically-Motivated Automatic Morphological Analysis for Wordnet Enrichment

Tom Richens

2009

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.

References

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Paper Citation


in Harvard Style

Richens T. (2009). Linguistically-Motivated Automatic Morphological Analysis for Wordnet Enrichment . In Proceedings of the 6th International Workshop on Natural Language Processing and Cognitive Science - Volume 1: NLPCS, (ICEIS 2009) ISBN 978-989-8111-92-0, pages 36-45. DOI: 10.5220/0002171900360045


in Bibtex Style

@conference{nlpcs09,
author={Tom Richens},
title={Linguistically-Motivated Automatic Morphological Analysis for Wordnet Enrichment},
booktitle={Proceedings of the 6th International Workshop on Natural Language Processing and Cognitive Science - Volume 1: NLPCS, (ICEIS 2009)},
year={2009},
pages={36-45},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002171900360045},
isbn={978-989-8111-92-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Workshop on Natural Language Processing and Cognitive Science - Volume 1: NLPCS, (ICEIS 2009)
TI - Linguistically-Motivated Automatic Morphological Analysis for Wordnet Enrichment
SN - 978-989-8111-92-0
AU - Richens T.
PY - 2009
SP - 36
EP - 45
DO - 10.5220/0002171900360045