... 2010 joint workshop on sta-tistical machinetranslation and metrics for machine translation. In Proceedings of the Joint Fifth Workshopon Statistical MachineTranslation and MetricsMATR,pages ... state-of-the-art system combination method for machinetranslation (MT) isbased on confusion networks constructedby aligning hypotheses with regard to wordsimilarities. We introduce a novel system combination ... building confusion networks with appli-cation to machinetranslationsystem combination. InProceedings of the Third Workshop on Statistical Ma-chine Translation, pages 183–186, Columbus, Ohio,June.Stuart...
... Advances in Machine Translation Systems, Language In India, Volume 9, November Issue, pp. 138-150. Goyal V., Lehal G.S. 2009a. A Machine Transliteration System for MachineTranslation System: ... Hindi to Punjabi MachineTranslation System. International Journal of Translation. (Accepted, In Print). Goyal V., Lehal G.S. 2011a. Hindi to Punjabi Machine Translation System. In Proc.: ... to translation engine for analysis till the complete input text is read and processed. 2.6 Translation Engine The translation engine is the main component of our MachineTranslation system. ...
... allowing users topost-edit machinetranslation output. However, nei-ther of these systems are able to take advantage ofthe user validated translations.3 Interactive Machine Translation IMT can be ... state-of-the-artSMT system is employed in the following way. Fora given source sentence, the SMT system automati-cally generates an initial translation. A human trans-lator checks this translation ... Multi-lingual Analysis for Retrieval and Translation. G. Foster, P. Isabelle, and P. Plamondon. 1997. Target-text mediated interactive machine translation. Ma-chine Translation, 12(1):175–194.G. Foster,...
... expectation-based approach to machinetranslation which does not view machine translation as a testhod for AI. The paper has shown the need to consider problems unique to machine translation such as ... 1982. A Heuristic Approach to English-into- Japanese Machine Translation. Proceedings of COLING-1982. 29 JETR: A ROBUST MACHINETRANSLATIONSYSTEM Rika Yoshii Department of Information and ... High Level Memory Structures and Text Coherence in Translation. Proceedings of LICAI-1981. Yoshii, R. 1986. JETR: A Robust MachineTranslation System. Doctoral dissertation, University of California,...
... an operational machine translation capability. The reliance on table-look-up as opposed to algo- rithmic programs does not contribute either to efficient or economical machine translation. ... determining the qual- ity of translation lies with the MT research personnel. I believe that the only meaningful criterion which can be applied to machine translation, or human translation for that ... mani- fested itself in condemnation of machine translation. Please note that all respondents who had knowledge of the discipline found the machinetranslation acceptable and usable. This,...
... Consensus Translation from Multiple Machine Translation Systems Using Enhanced HypothesesAlignment. In Proc. of EACL, Trento, Italy.S. Nießen and H. Ney. 2004. Statistical Machine Translation ... Statistical MachineTranslation Mod-els. In Proc. of the Association for Machine Trans-lation in the Americas (AMTA).P. Koehn. 2004b. Statistical Significance Tests for Machine Translation ... Statistical Machine Translation. In Proc. of NAACL, Boston,MA.Y. Lee. 2005. IBM Statistical MachineTranslation forSpoken Languages. In Proc. of International Work-shop on Spoken Language Translation...
... Phrase-BasedModel for Statistical Machine Translation. In Proc.ACL, pages 263-270.Michael Collins, Philipp Koehn and Ivona Kucerova.2005. Clause restructuring for statistical machine translation. In Proc. ... English-Hindi Statistical Machine Translation. In Proc. IJCNLP.Roy Tromble. 2009. Search and Learning for the Lin-ear Ordering Problem with an Application to Machine Translation. Ph.D. Thesis.Karthik ... J. Och. 2002. Statistical Machine Translation: From Single Word Models to Alignment Template.Ph.D.Thesis, RWTH Aachen, GermanyFranz J. Och and Hermann Ney. 2003. A SystematicComparison of Various...
... phrase-based systems (Chiang, 2005) as wellas phrase-based translation systems (Koehn et al.,2003). However, the method can be easily extendedto support combining a number of heterogeneous translation ... and added to the training corpus on which anew system is trained.5.2 System Combination Tackling the model adaptation problem using sys-tem combination approaches has been experimentedin ... 2009. Do-main adaptation for statistical machinetranslation withmonolingual resources. In Proceedings of the FourthWorkshop on Statistical Machine Translation, StatMT’09, pages 182–189, Stroudsburg,...