Translation Paraphrases in Phrase-Based Machine Translation

In this paper we present an analysis of a phrase-based machine translation methodology that integrates paraphrases obtained from an intermediary language (French) for translations between Spanish and English. The purpose of the research presented in this document is to find out howmuch extra information (i.e. improvements in translation quality) can be found when using Translation Paraphrases (TPs). In this document we present an extensive statistical analysis to support conclusions.

[1]  Hermann Ney,et al.  Improvements in Phrase-Based Statistical Machine Translation , 2004, NAACL.

[2]  F.G. Herrera,et al.  Using Translation Paraphrases from Trilingual Corpora to Improve Phrase-Based Statistical Machine Translation: A Preliminary Report , 2007, 2007 Sixth Mexican International Conference on Artificial Intelligence, Special Session (MICAI).

[3]  Franz Josef Och,et al.  Minimum Error Rate Training in Statistical Machine Translation , 2003, ACL.

[4]  Lluís Màrquez i Villodre,et al.  Combining Linguistic Data Views for Phrase-based SMT , 2005, ParallelText@ACL.

[5]  Salim Roukos,et al.  Bleu: a Method for Automatic Evaluation of Machine Translation , 2002, ACL.

[6]  Marti A. Hearst,et al.  HLT-NAACL 2003 : Human Language Technology conference of the North American Chapter of the Association for Computational Linguistics : proceedings of the main conference : May 27 to June 1, 2003, Edmonton, Alberta, Canada , 2003 .

[7]  Philipp Koehn,et al.  Improved Statistical Machine Translation Using Paraphrases , 2006, NAACL.

[8]  Andy Way,et al.  Supertagged Phrase-Based Statistical Machine Translation , 2007, ACL.

[9]  Hermann Ney,et al.  Discriminative Training and Maximum Entropy Models for Statistical Machine Translation , 2002, ACL.

[10]  Philip Koehn,et al.  Statistical Machine Translation , 2010, EAMT.

[11]  Philipp Koehn,et al.  CCG Supertags in Factored Statistical Machine Translation , 2007, WMT@ACL.

[12]  Hermann Ney,et al.  A Comparison of Alignment Models for Statistical Machine Translation , 2000, COLING.

[13]  Robert L. Mercer,et al.  The Mathematics of Statistical Machine Translation: Parameter Estimation , 1993, CL.

[14]  Philipp Koehn,et al.  Re-evaluating the Role of Bleu in Machine Translation Research , 2006, EACL.

[15]  Enrique Vidal,et al.  A Recursive Statistical Translation Model , 2005, ParallelText@ACL.

[16]  Daniel Marcu,et al.  Statistical Phrase-Based Translation , 2003, NAACL.

[17]  Philippe Langlais,et al.  Phrase-Based SMT with Shallow Tree-Phrases , 2006, WMT@HLT-NAACL.

[18]  Philipp Koehn,et al.  Europarl: A Parallel Corpus for Statistical Machine Translation , 2005, MTSUMMIT.

[19]  Philipp Koehn,et al.  Statistical Significance Tests for Machine Translation Evaluation , 2004, EMNLP.

[20]  Taro Watanabe,et al.  Reordering Constraints for Phrase-Based Statistical Machine Translation , 2004, COLING.

[21]  Philipp Koehn,et al.  Moses: Open Source Toolkit for Statistical Machine Translation , 2007, ACL.