Evaluation of a method of creating new valency entries.
Date of Issue2003
Machine Translation Summit (9th : 2003)
School of Humanities and Social Sciences
Information on subcategorization and selectional restrictions is important for natural language processing tasks such as deep parsing, rule-based machine translation and automatic summarization. In this paper we present a method of adding detailed entries to a bilingual dictionary, based on information in an existing valency dictionary. The method is based on two assumptions: words with similar meaning have similar subcategorization frames and selectional restrictions; and words with the same translations have similar meanings. Based on these assumptions, new valency entries are constructed from words in a plain bilingual dictionary, using entries with similar source-language meaning and the same target-language translations. We evaluate the effects of various measures of similarity in increasing accuracy.
MT Summit IX
© 2003 AMTA. This is the author created version of a work that has been peer reviewed and accepted for publication by Proceedings of Machine Translation Summit IX, Association for Machine Translation in the Americas. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://www.mt-archive.info/MTS-2003-Bond.pdf].