Paper: Incremental Syntactic Language Models for Phrase-based Translation

ACL ID P11-1063
Title Incremental Syntactic Language Models for Phrase-based Translation
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2011
Authors

This paper describes a novel technique for in- corporating syntactic knowledge into phrase- based machine translation through incremen- tal syntactic parsing. Bottom-up and top- down parsers typically require a completed string as input. This requirement makes it dif- ficult to incorporate them into phrase-based translation, which generates partial hypothe- sized translations from left-to-right. Incre- mental syntactic language models score sen- tences in a similar left-to-right fashion, and are therefore a good mechanism for incorporat- ing syntax into phrase-based translation. We give a formal definition of one such linear- time syntactic language model, detail its re- lation to phrase-based decoding, and integrate the model with the Moses phrase-based trans- lation system. We present em...