Language and Spatial Cognition
Language and Spatial Cognition
A system for translating locative prepositions from English into French
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Incorporating linguistic knowledge in statistical machine translation: translating prepositions
HYBRID '12 Proceedings of the Workshop on Innovative Hybrid Approaches to the Processing of Textual Data
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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.