Evaluation of a method of creating new valency entries

• Main Authors: Bond, Francis, Fujita, Sanae.
• Other Authors: School of Humanities and Social Sciences
• Format: Conference or Workshop Item
• Language: English
• Published: 2011
• Subjects: DRNTU::Humanities::Linguistics::Sociolinguistics::Computational linguistics; DRNTU::Humanities::Language::Japanese
• Online Access: https://hdl.handle.net/10356/93842; http://hdl.handle.net/10220/6808
• Institution: Nanyang Technological University

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.