English to Chinese translation of prepositions

From National Research Council Canada

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DOIResolve DOI: https://doi.org/10.1007/11424918_43
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Name affiliation
  1. National Research Council of Canada. NRC Institute for Information Technology
FormatText, Book chapter
Proceedings titleAdvances in Artificial Intelligence: 18th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2005, Victoria, Canada, May 9-11, 2005. Proceedings
Series titleLecture Notes in Computer Science; no. 3501
Conference18th Conference of the Canadian Society for Computational Studies of Intelligence (Canadian AI 2005), May 9-11, 2005, Victoria, B.C., Canada
ISSN0302-9743
ISBN978-3-540-25864-3
978-3-540-31952-8
Pages412–416
Abstract
Machine translation of prepositions is a difficult task; little work has been done, to date, in this area. This article suggests addressing the problem using a semantic framework for the interpretation of the surrounding elements of a preposition in the source language. This framework, called Use Types, will reduce the set of possible prepositions in the target language, therefore helping the translation process. This approach is not language dependent, but we focus, here, on English and Chinese, and we also specifically look at three prepositions: in, on and at. The article describes machine learning experiments designed and conducted in which WordNet is employed to lead to an automatic discovery of the Use Types. Results are analyzed and discussed and a practical use of the system is suggested along with the preliminary results it obtains.
Publication date
PublisherSpringer Berlin Heidelberg
Springer Berlin Heidelberg
LanguageEnglish
Peer reviewedYes
NRC numberNRCC 48510
NPARC number5765408
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