Paper: Boosting-Based System Combination for Machine Translation

ACL ID P10-1076
Title Boosting-Based System Combination for Machine Translation
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2010

In this paper, we present a simple and effective method to address the issue of how to generate diversified translation systems from a single Statistical Machine Translation (SMT) engine for system combination. Our method is based on the framework of boosting. First, a se- quence of weak translation systems is gener- ated from a baseline system in an iterative manner. Then, a strong translation system is built from the ensemble of these weak transla- tion systems. To adapt boosting to SMT sys- tem combination, several key components of the original boosting algorithms are redes- igned in this work. We evaluate our method on Chinese-to-English Machine Translation (MT) tasks in three baseline systems, including a phrase-based system, a hierarchical phrase- based system and a synt...