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.
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© 2005 Springer-Verlag Berlin Heidelberg
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Li, H., Japkowicz, N., Barrière, C. (2005). English to Chinese Translation of Prepositions. In: Kégl, B., Lapalme, G. (eds) Advances in Artificial Intelligence. Canadian AI 2005. Lecture Notes in Computer Science(), vol 3501. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424918_43
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DOI: https://doi.org/10.1007/11424918_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25864-3
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