Abstract
In this paper, we present a phrase extraction algorithm using a translation lexicon, a fertility model, and a simple distortion model. Except these models, we do not need explicit word alignments for phrase extraction. For each phrase pair (a block), a bilingual lexicon based score is computed to estimate the translation quality between the source and target phrase pairs; a fertility score is computed to estimate how good the lengths are matched between phrase pairs; a center distortion score is computed to estimate the relative position divergence between the phrase pairs. We presented the results and our experience in the shared tasks on French-English.
Cite
CITATION STYLE
Zhao, B., & Vogel, S. (2005). A generalized alignment-free phrase extraction. In Texts@ACL 2005 - Building and Using Parallel Texts: Data-Driven Machine Translation and Beyond, Proceedings of the Workshop (pp. 141–144). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1654449.1654480
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