Exploring Context Variation and Lexicon Coverage in Projection-based Approach for Term Translation
نویسنده
چکیده
Identifying translations in comparable corpora has inspired many studies in bilingual terminology extraction [4, 5]. Projection-based approaches, which are among the most popular ones, rely on a seed bilingual lexicon. Surprisingly, there is no careful analysis of the impact of the size the initial context and coverage of the lexicon. This is precisely the focus of this study. We observe that source context size and lexicon coverage influence robustness in projection-based term translation. In particular, we show that increasing the number of seed words by a factor of three leads to a 20% relative improvement in
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