The CUED HiFST system for the WMT10 translation shared task

Authors:
Juan Pino;Gonzalo Iglesias;Adrià de Gispert;Graeme Blackwood;Jamie Brunning;William Byrne
Affiliations:
University of Cambridge, Cambridge, U.K.;University of Cambridge, Cambridge, U.K. and University of Vigo, Vigo, Spain;University of Cambridge, Cambridge, U.K.;University of Cambridge, Cambridge, U.K.;University of Cambridge, Cambridge, U.K.;University of Cambridge, Cambridge, U.K.
Venue:
WMT '10 Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR
Year:
2010

Citing 13
Cited 3

TnT: a statistical part-of-speech tagger

ANLC '00 Proceedings of the sixth conference on Applied natural language processing
BLEU: a method for automatic evaluation of machine translation

ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Minimum error rate training in statistical machine translation

ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
HMM word and phrase alignment for statistical machine translation

HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Hierarchical Phrase-Based Translation

Computational Linguistics
Word lattices for multi-source translation

EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Lattice Minimum Bayes-Risk decoding for statistical machine translation

EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Context-dependent alignment models for statistical machine translation

NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Hierarchical phrase-based translation with weighted finite state transducers

NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Minimum Bayes risk combination of translation hypotheses from alternative morphological decompositions

NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
OpenFst: a general and efficient weighted finite-state transducer library

CIAA'07 Proceedings of the 12th international conference on Implementation and application of automata
Efficient path counting transducers for minimum bayes-risk decoding of statistical machine translation lattices

ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Hierarchical phrase-based translation with weighted finite-state transducers and shallow-n grammars

Computational Linguistics

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
CMU syntax-based machine translation at WMT 2011

WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
N-gram posterior probability confidence measures for statistical machine translation: an empirical study

Machine Translation

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes the Cambridge University Engineering Department submission to the Fifth Workshop on Statistical Machine Translation. We report results for the French-English and Spanish-English shared translation tasks in both directions. The CUED system is based on HiFST, a hierarchical phrase-based decoder implemented using weighted finite-state transducers. In the French-English task, we investigate the use of context-dependent alignment models. We also show that lattice minimum Bayes-risk decoding is an effective framework for multi-source translation, leading to large gains in BLEU score.