Paper: Revisiting Pivot Language Approach for Machine Translation

ACL ID P09-1018
Title Revisiting Pivot Language Approach for Machine Translation
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2009
Authors

This paper revisits the pivot language ap- proach for machine translation. First, we investigate three different methods for pivot translation. Then we employ a hybrid method combining RBMT and SMT systems to fill up the data gap for pivot translation, where the source- pivot and pivot-target corpora are inde- pendent. Experimental results on spo- ken language translation show that this hybrid method significantly improves the translation quality, which outperforms the method using a source-target corpus of the same size. In addition, we pro- pose a system combination approach to select better translations from those pro- duced by various pivot translation meth- ods. This method regards system com- bination as a translation evaluation prob- lem and formalizes it with a regression learning ...