... Meet-ing of the ACL, pages 440–447, Hongkong, China, Oc-tober.Franz Josef Och. 2003. Minimumerrorratetraining for statistical machine translation. In Proceedings of the41th Annual Meeting ... and Alfons Juan. 2007. Domain adap-tation instatisticalmachinetranslation with mixturemodelling. In Proceedings of the Second Workshopon StatisticalMachine Translation, StatMT ’07, pages177–180, ... 2010.Discriminative instance weighting for domain adapta-tion instatisticalmachine translation. In Proceedingsof the 2010 Conference on Empirical Methods in Nat-ural Language Processing, EMNLP...
... Computational LinguisticsName TranslationinStatisticalMachine Translation Learning When to TransliterateUlf Hermjakob and Kevin KnightUniversity of Southern CaliforniaInformation Sciences Institute4676 ... transliterate names in the framework of end-to-end statistical machine translation. The system is trainedto learn when to transliterate. For Arabicto English MT, we developed and trained atransliterator ... JointSource-Channel Model for Machine Transliteration. In Proceedings of the 42nd Annual Meeting on Asso-ciation for ComputationalLinguistics.Wei-Hao Lin and Hsin-Hsi Chen. 2002. Backward Ma-chine Transliteration...
... Singa-pore, August. Association for Computational Linguis-tics.Franz Josef Och. 2003. Minimumerrorratetraining in statisticalmachine translation. In Proceedings of the41st Annual Meeting ... for statisticalmachine translation. In Proceed-ings of AMTA.Sylvain Raybaud, Caroline Lavecchia, David Langlois,and Kamel Sma¨ıli. 2009. New confidence measuresfor statisticalmachine translation. ... 19(2):263–311.Eugene Charniak, Kevin Knight, and Kenji Yamada.2003. Syntax-based language models for statistical machine translation. In Proceedings of MT Summit IX.Intl. Assoc. for Machine Translation. David...
... 4th In- ternational Conference on Spoken Language Processing (ICSLP'96), Philadelphia, USA. Wang, Y. and A. Waibel. 1997. Decoding Al- gorithm inStatisticalMachine Translation. In ... translations. It is interesting to note that the German translations in Simplified Model 2 of- ten appear at the beginning of a sentence, the position where 'T' often appears in ... Abstract Most statisticalmachinetranslation systems employ a word-based alignment model. In this paper we demonstrate that word-based align- ment is a major cause of translation errors. We...
... Ney. 2002. Discriminative training and maximum entropy models for statistical machine translation. In Proc. of the 40th Annual Meeting ofthe Association for Computational Linguistics (ACL),pages ... training and test corpus statistics.5 Evaluation in Training In this section, we will investigate for each of theconstraints the coverage of the training corpus align-ment. For this purpose, we ... in word-reordering than the IBM constraints. Regard-ing the Viterbi alignment in training, the baselineITG constraints yield a similar coverage as the IBMconstraints on the Verbmobil task. On the...
... 2007.Exploring different representational units in English-to-Turkish statisticalmachine translation. In Proceedings of StatisticalMachine Translation Workshop at the 45th Annual Meeting of theAssociation ... Europarl: A parallel corpus for statistical machine translation. In MT Summit X.Young-Suk Lee. 2004. Morphological analysis for statistical machine translation. In Proceedings ofHLT/NAACL-2004 – Companion ... randomly gen-erated 10 training, test and tune set combinations.For each combination, the latter two were 1000sentences each and the remaining 50712 sentenceswere used as training sets.9,...
... to boosttranslator’s productivity. Machine Translation, 15(4):77–98.F. J. Och. 2003. Minimumerrorratetrainingin statis-tical machine translation. In Proc. ACL, pages 160–167.D. Ortiz, ... Im-proving interactive machinetranslation via mouseactions. In Proc. EMNLP, pages 25–27.N. Ueffing and H. Ney. 2005. Application of word-level confidence measures in interactive statistical machine ... for Computational LinguisticsBalancing User Effort and TranslationErrorin Interactive Machine Translation Via Confidence MeasuresJes´us Gonz´alez-RubioInst. Tec. de Inform´aticaUniv....
... approach to statisticalmachine transla-tion. Computational Linguistics, 30(4):417–449.Franz Josef Och. 2003. Minimumerrorrate training instatisticalmachine translation. In Proceedings of(HLT-NAACL’03), ... weightsλ defined in equation (4) we employed minimumerror rate (MER) training under the BLEU measure (Och,2003). Training data for MER training were takenfrom multiple manual English translations ... in the question-answer cor-pus as two distinct languages. That is, the 10 millionquestion-answer pairs extracted from FAQ pages arefed as parallel training data into an SMT training pipeline....
... Machine Translation. Machine Translation, pages77-94.Hua Wu, Haifeng Wang and Chengqing Zong. 2008. Do-main Adaptation for StatisticalMachine Translation with Domain Dictionary and Monolingual ... be obtainedmore easily. In this paper, we propose anovel approach for translation model adapta-tion by utilizing in- domain monolingual top-ic information instead of the in- domain bilin-gual ... Shouxun Lin. 2006. Tree-to-String Alignment Template for Statistical Machine Translation. In Proc. of ACL 2006, pages 609-616.Yajuan Lv, Jin Huang and Qun Liu. 2007. Improv-ing Statistical Machine...
... MinimumErrorRate Training inStatisticalMachine Translation. In Erhard Hinrichsand Dan Roth, editors, Proceedings of the 41st AnnualMeeting of the Association for Computational Linguis-tics, ... Chunk-based verb reordering in VSO sentences for Arabic-English statisticalmachine translation. In Proceed-ings of the Joint Fifth Workshop on Statistical Machine Translation and Metrics MATR, ... phrase-based statistical machine translation. In Proceedings of the Sixth Work-shop on StatisticalMachine Translation, pages 227–236, Edinburgh, Scotland, July. Association for Com-putational Linguistics.Satanjeev...