Mutual terminology extraction using a statistical framework

1. Ha, Le An
2. Mitkov, Ruslan
3. Corpas Pastor, Gloria

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In this paper, we explore a statistical framework for mutual bilingual terminology extraction. We propose three probabilistic models to assess the proposition that automatic alignment can play an active role in bilingual terminology extraction and translate it into mutual bilingual terminology extraction. The results indicate that such models are valid and can show that mutual bilingual terminology extraction is indeed a viable approach.

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