Improving bilingual lexicon extraction from comparable corpora using window-based and syntax-based models

Abstract

This paper proposes two strategies for combining a window-based and a syntax-based context representation for the task of bilingual lexicon extraction from comparable corpora. The first strategy involves combining the scores assigned to translations by both models and using them for ranking and selection; the second strategy involves a combination of the context features provided by the two models prior to applying the lexicon extraction method. The reported results show that the combination of the two context representations significantly improves the performance of bilingual lexicon extraction compared to using each of the representations individually. © 2014 Springer-Verlag Berlin Heidelberg.