| Download | - View accepted manuscript: English to Chinese translation of prepositions (PDF, 303 KB)
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| DOI | Resolve DOI: https://doi.org/10.1007/11424918_43 |
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| Author | Search for: Li, Hui; Search for: Japkowicz, Nathalie; Search for: Barrière, Caroline1 |
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| Name affiliation | - National Research Council of Canada. NRC Institute for Information Technology
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| Format | Text, Book chapter |
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| Conference | 18th Conference of the Canadian Society for Computational Studies of Intelligence (Canadian AI 2005), May 9-11, 2005, Victoria, B.C., Canada |
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| 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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| Publication date | 2005 |
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| Publisher | Springer Berlin Heidelberg |
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| Language | English |
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| Peer reviewed | Yes |
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| NRC number | NRCC 48510 |
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| NPARC number | 5765408 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction |
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| Record identifier | 2b0f3bef-b755-4c28-b1a6-36dfbae82d4d |
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| Record created | 2009-03-29 |
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| Record modified | 2020-06-16 |
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