Paper: A Unified Model for Soft Linguistic Reordering Constraints in Statistical Machine Translation

ACL ID P14-1106
Title A Unified Model for Soft Linguistic Reordering Constraints in Statistical Machine Translation
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

This paper explores a simple and effec- tive unified framework for incorporating soft linguistic reordering constraints into a hierarchical phrase-based translation sys- tem: 1) a syntactic reordering model that explores reorderings for context free grammar rules; and 2) a semantic re- ordering model that focuses on the re- ordering of predicate-argument structures. We develop novel features based on both models and use them as soft constraints to guide the translation process. Ex- periments on Chinese-English translation show that the reordering approach can sig- nificantly improve a state-of-the-art hier- archical phrase-based translation system. However, the gain achieved by the seman- tic reordering model is limited in the pres- ence of the syntactic reordering model, and we therefore ...