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