A Multi-view Approach for Term Translation Spotting

Abstract : This paper presents a multi-view approach for term translation spotting, based on a bilingual lexicon and comparable corpora. We propose to study different levels of representation for a term: the context , the theme and the orthography. These three approaches are studied individually and combined in order to rank translation candidates. We focus our task on French-English medical terms. Experiments show a significant improvement of the classical context-based approach, with a F-score of 40.3 % for the first ranked translation candidates.
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Raphaël Rubino, Georges Linarès. A Multi-view Approach for Term Translation Spotting. 12th International Conference, CICLing, Feb 2011, Tokyo, Japan. ⟨10.1007/978-3-642-19437-5_3⟩. ⟨hal-01320246⟩



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