Paper: Using Context Vectors in Improving a Machine Translation System with Bridge Language

ACL ID P13-2057
Title Using Context Vectors in Improving a Machine Translation System with Bridge Language
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2013
Authors

Mapping phrases between languages as translation of each other by using an intermediate language (pivot language) may generate translation pairs that are wrong. Since a word or a phrase has different meanings in different contexts, we should map source and target phrases in an intelligent way. We propose a pruning method based on the context vectors to remove those phrase pairs that connect to each other by a polysemous pivot phrase or by weak translations. We use context vectors to implicitly disambiguate the phrase senses and to recognize irrelevant phrase translation pairs. Using the proposed method a relative improvement of 2.8 percent in terms of BLEU score is achieved.