Using Linear Interpolation and Weighted Reordering Hypotheses in the Moses System

This paper proposes to introduce a novel reordering model in the open-source Moses toolkit. The main idea is to provide weighted reordering hypotheses to the SMT decoder. These hypotheses are built using a first-step Ngram-based SMT translation from a source language into a third representation that is called reordered source language. Each hypothesis has its own weight provided by the Ngram-based decoder. This proposed reordering technique offers a better and more efficient translation when compared to both the distance-based and the lexicalized reordering. In addition to this reordering approach, this paper describes a domain adaptation technique which is based on a linear combination of an specific indomain and an extra out-domain translation models. Results for both approaches are reported in the Arabic-to-English 2008 IWSLT task. When implementing the weighted reordering hypotheses and the domain adaptation technique in the final translation system, translation results reach impr...

• Type: Conference
• Year: 2010
• Where: LREC
• Authors: Marta R. Costa-Jussà, José A. R. Fonollosa
• Keywords: Domain Adaptation Technique, Education, LREC 2010, Ngram-based SMT Translation, Weighted Reordering Hypotheses