Paper: Improved Word-Level System Combination for Machine Translation

ACL ID P07-1040
Title Improved Word-Level System Combination for Machine Translation
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2007

Recently, confusion network decoding has been applied in machine translation system combination. Due to errors in the hypoth- esis alignment, decoding may result in un- grammatical combination outputs. This pa- per describes an improved confusion net- work based method to combine outputs from multiple MT systems. In this approach, ar- bitrary features may be added log-linearly into the objective function, thus allowing language model expansion and re-scoring. Also, a novel method to automatically se- lect the hypothesis which other hypotheses are aligned against is proposed. A generic weight tuning algorithm may be used to op- timize various automatic evaluation metrics including TER, BLEU and METEOR. The experiments using the 2005 Arabic to En- glish and Chinese to English NIST MT eval- u...