Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Stochastic inversion transduction grammars and bilingual parsing of parallel corpora
Computational Linguistics
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Machine translation system combination using ITG-based alignments
HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
CMU system combination for WMT'09
StatMT '09 Proceedings of the Fourth Workshop on Statistical 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
Description of the JHU system combination scheme for WMT 2011
WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
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This paper describes the JHU system combination scheme that was used in the WMT 2010 submission. The incremental alignment scheme of (Karakos et.al, 2008) was used for confusion network generation. The system order in the alignment of each sentence was learned using SVMs, following the work of (Karakos et.al, 2010). Additionally, web-scale n-grams from the Google corpus were used to build language models that improved the quality of the combination output. Experiments in Spanish-English, French-English, German-English and Czech-English language pairs were conducted, and the results show approximately 1 BLEU point and 2 TER points improvement over the best individual system.