Machine Translation
Volume 24, Issue 2, June 2010
Pushing the Frontier of Statistical Machine Translation
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Table of Contents
Original Papers
1- Pushing the frontier of Statistical Machine Translation: Preface
2- The application of structured learning in natural language processing
3- A kernel regression framework for SMT
4- Monte Carlo techniques for phrase-based translation
5- Exploiting syntactic relationships in a phrase-based decoder: an exploration
6- Improve syntax-based translation using deep syntactic structures
7- Factored bilingual n-gram language models for statistical machine translation