Reproducible results in parsing-based machine translation: the JHU shared task submission

Authors:
Lane Schwartz
Affiliations:
University of Minnesota, Minneapolis, MN and Johns Hopkins University
Venue:
WMT '10 Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR
Year:
2010

Citing 12
Cited 4

BLEU: a method for automatic evaluation of machine translation

ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Alignment by agreement

HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Empiricism is not a matter of faith

Computational Linguistics
Machine translation by pattern matching

Machine translation by pattern matching
Moses: open source toolkit for statistical machine translation

ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
(Meta-) evaluation of machine translation

StatMT '07 Proceedings of the Second Workshop on Statistical Machine Translation
Further meta-evaluation of machine translation

StatMT '08 Proceedings of the Third Workshop on Statistical Machine Translation
Findings of the 2009 workshop on statistical machine translation

StatMT '09 Proceedings of the Fourth Workshop on Statistical Machine Translation
Joshua: an open source toolkit for parsing-based machine translation

StatMT '09 Proceedings of the Fourth Workshop on Statistical Machine Translation
Syntax augmented machine translation via chart parsing

StatMT '06 Proceedings of the Workshop on Statistical Machine Translation
Phramer: an open source statistical phrase-based translator

StatMT '06 Proceedings of the Workshop on Statistical Machine Translation
cdec: a decoder, alignment, and learning framework for finite-state and context-free translation models

ACLDemos '10 Proceedings of the ACL 2010 System Demonstrations

Findings of the 2010 Joint Workshop on Statistical Machine Translation and Metrics for Machine Translation

WMT '10 Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR
Joshua 2.0: a toolkit for parsing-based machine translation with syntax, semirings, discriminative training and other goodies

WMT '10 Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR
Jane: an advanced freely available hierarchical machine translation toolkit

Machine Translation
Cardinality pruning and language model heuristics for hierarchical phrase-based translation

Machine Translation

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present the Johns Hopkins University submission to the 2010 WMT shared translation task. We describe processing steps using open data and open source software used in our submission, and provide the scripts and configurations required to train, tune, and test our machine translation system.