... @us.ibm.comAbstractIn this paper, we present a novel trainingmethod for a localized phrase-based predic-tion modelforstatisticalmachine translation (SMT). The model predicts blocks with orien-tation to handle ... Arabic-English translation task.1 IntroductionIn this paper, we present a block-based modelfor statis-tical machine translation. A block is a pair of phraseswhich are translations of each other. For ... pages 557–564,Ann Arbor, June 2005.c2005 Association for Computational LinguisticsA Localized Prediction ModelforStatisticalMachine Translation Christoph Tillmann and Tong ZhangIBM T.J....
... Disambiguation Improves StatisticalMachine Translation. In: Proceedings of ACL, Prague. D. Chiang. 2005. A hierarchical phrase-based model for statisticalmachine translation. In: Proceedings ... Phrase Selection for SMT. In: Goutte et al (ed.), Learning Machine Translation. MIT Press. K. Gimpel and N. A. Smith. 2008. Rich Source-Side Context forStatisticalMachine Translation. In: ... used for esti-mating the translation model. The second one is the small data condition where only the FBIS3 corpus is used to train the translation model. We trained two language models:...
... source toolkit for parsing-based machine translation. In Proceedings of the FourthWorkshop on StatisticalMachine Translation, pages135–139, Athens, Greece, March. Association for Computational ... Association for ComputationalLinguistics.Gholamreza Haffari, Maxim Roy, and Anoop Sarkar.2009. Active learning forstatistical phrase-based machine translation. In Proceedings of Human Language ... poolof foreign text, if available.Our motivations for soliciting translations for only parts of sentences are twofold, correspondingto two possible cases. Case one is that a translation model...
... improves the translation per-formance as measured by BLEU.1 IntroductionIn statisticalmachinetranslation (SMT), wordsare normally considered as the building blocks of translation models. However, ... Oflazer. 2006.Initial explorations in English to Turkish statistical machine translation. In Proceedings of the Work-shop on StatisticalMachine Translation, pages 7–14, New York City, New York, ... 31–36,Uppsala, Sweden, 13 July 2010.c2010 Association for Computational LinguisticsUnsupervised Search for The Optimal Segmentation for Statistical Machine Translation Cos¸kun Mermer1,3and Ahmet Afs¸ın...
... Assurance for Natural Language Processing, pages 49–57, Columbus, Ohio,June. Association for Computational Linguistics.Philipp Koehn et al. 2007. Moses: Open source toolkit for statisticalmachine translation. ... Association for Computational Linguistics:shortpapers, pages 294–298,Portland, Oregon, June 19-24, 2011.c2011 Association for Computational LinguisticsCorpus Expansion forStatisticalMachineTranslation ... on Chinese-English machine translation tasks and the performance iscomparable to system trained with larger manuallycollected parallel corpus. While our experimentswere performed on Chinese-English,...
... Analysis for Statistical Machine Translation. In Proc. of NAACL, Boston,MA.Y. Lee. 2005. IBM StatisticalMachineTranslation for Spoken Languages. In Proc. of International Work-shop on Spoken Language ... for Phrase-based StatisticalMachineTranslation Mod-els. In Proc. of the Association forMachine Trans-lation in the Americas (AMTA).P. Koehn. 2004b. Statistical Significance Tests for MachineTranslation ... 2006.c2006 Association for Computational LinguisticsCombination of Arabic Preprocessing Schemes for StatisticalMachine Translation Fatiha SadatInstitute for Information TechnologyNational...
... of features for statisticalmachine translation. In Proceedings of HLT-NAACL 2004.Och, F. J., Tillmann, C., and Ney, H. (1999). Improved align-ment models forstatisticalmachine translation. ... Departmentkucerova@mit.eduAbstractWe describe a method for incorporating syntactic informa-tion in statisticalmachinetranslation systems. The first stepof the method is to parse the source language string that is be-ing ... 19(2):263–313.Charniak, E., Knight, K., and Yamada, K. (2003). Syntax-based language models forstatisticalmachine translation. In Pro-ceedings of the MT Summit IX.Dubey, A. and Keller, F....
... outlined inSection 3.2 StatisticalMachine Translation The goal of the translation process in statisti-cal machinetranslation can be formulated as fol-lows: A source language stringis to be ... best hypothesis provided by the translation system.7 ConclusionsWe have developed refined lexicon models for statisticalmachinetranslation by using maximumentropy models. We have been able to ... the lexicon models used in statistical machinetranslation systems are only single-wordbased, thatis one word in the source language cor-responds to only one word in the target language. Those...
... experimental results for a bilingual cor- pus are reported. 1.1 StatisticalMachineTranslation In statisticalmachine translation, the goal of the search strategy can be formulated as follows: ... the models (stronger languagemodelfor the target lan- guage, better translationmodel and especially more training data) will have a strong impact on the qual- ity of the produced translations. ... The underlying translationmodel is Model 2 from (Brown et al., 1993). (Wu, 1996) formulates a DP search for stochastic bracketing transduction grammars. The bigram lan- guage model is integrated...
... 2009.c2009 Association for Computational LinguisticsBilingually Motivated Domain-Adapted Word Segmentation for StatisticalMachine Translation Yanjun Ma Andy WayNational Centre forLanguage TechnologySchool ... LDC seg-menter2and Stanford segmenter version 2006-05-113. Both ICTCLAS and Stanford segmentersutilise machine learning techniques, with HiddenMarkov Models for ICT (Zhang et al., 2003) ... observe that the ICT and Stanford segmenterconsistently outperform the LDC segmenter. Evenusing 3M sentence pairs for training, the differ-ences between them are still statistically signifi-cant...