Bilingual Lexicon Construction Using Large Corpora

This paper introduces a method for learning bilingual term and sentence level alignments for the purpose of building bilingual lexicons. Combining statistical techniques with linguistic knowledge, a general algorithm is developed for learning term and sentence alignments from large bilingual corpora with high accuracy. This is achieved through the use of ltered linguistic feedback between term and sentence alignment processes. An implementation of this algorithm, TAG-ALIGN, is evaluated against approaches similar to Brown et al.1993] that apply Bayesian techniques for term alignment, and Gale and Church 1991] a dynamic programming method for aligning sentences. The ultimate goal is to produce large bilingual lexicons with a high degree of accuracy from potentially noisy corpora.