BBN system description for WMT10 system combination task

Authors:
Antti-Veikko I. Rosti;Bing Zhang;Spyros Matsoukas;Richard Schwartz
Affiliations:
Raytheon BBN Technologies, Cambridge, MA;Raytheon BBN Technologies, Cambridge, MA;Raytheon BBN Technologies, Cambridge, MA;Raytheon BBN Technologies, Cambridge, MA
Venue:
WMT '10 Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR
Year:
2010

Citing 7
Cited 7

On the limited memory BFGS method for large scale optimization

Mathematical Programming: Series A and B
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
Lattice Minimum Bayes-Risk decoding for statistical machine translation

EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Incremental hypothesis alignment with flexible matching for building confusion networks: BBN system description for WMT09 system combination task

StatMT '09 Proceedings of the Fourth Workshop on Statistical Machine Translation
Fluency, adequacy, or HTER?: exploring different human judgments with a tunable MT metric

StatMT '09 Proceedings of the Fourth Workshop on Statistical Machine Translation
Consensus training for consensus decoding in machine translation

EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3

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 system combination in WMT 2011

WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
Expected BLEU training for graphs: BBN system description for WMT11 system combination task

WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
LIMSI @ WMT11

WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
Methods for integrating rule-based and statistical systems for Arabic to English machine translation

Machine Translation
Trait-based hypothesis selection for machine translation

NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Review of hypothesis alignment algorithms for MT system combination via confusion network decoding

WMT '12 Proceedings of the Seventh Workshop on Statistical Machine Translation

Quantified Score

Hi-index	0.00

Visualization

Abstract

BBN submitted system combination outputs for Czech-English, German-English, Spanish-English, French-English, and All-English language pairs. All combinations were based on confusion network decoding. An incremental hypothesis alignment algorithm with flexible matching was used to build the networks. The bi-gram decoding weights for the single source language translations were tuned directly to maximize the BLEU score of the decoding output. Approximate expected BLEU was used as the objective function in gradient based optimization of the combination weights for a 44 system multi-source language combination (All-English). The system combination gained around 0.4--2.0 BLEU points over the best individual systems on the single source conditions. On the multi-source condition, the system combination gained 6.6 BLEU points.