A method of creating new valency entries

Authors:
Sanae Fujita;Francis Bond
Affiliations:
NTT Natural Language Research Group, NTT Communication Science Laboratories, Nippon Telephone and Telegraph Corporation, Kyoto, Japan;NTT Natural Language Research Group, NTT Communication Science Laboratories, Nippon Telephone and Telegraph Corporation, Kyoto, Japan
Venue:
Machine Translation
Year:
2007

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Abstract

Information on subcategorization and selectional restrictions in a valency dictionary is important for natural language processing tasks such as monolingual parsing, accurate rule-based machine translation and automatic summarization. In this paper we present an efficient method of assigning valency information and selectional restrictions to entries in 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 for 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 semantic similarity.