... systems are able to take advantage ofthe user validated translations.3 InteractiveMachine Translation IMT can be seen as an evolution of the statistical ma-chine translation (SMT) framework. ... Stat. Multi-lingual Analysis for Retrieval and Translation. G. Foster, P. Isabelle, and P. Plamondon. 1997. Target-text mediated interactivemachine translation. Ma-chine Translation, 12(1):175–194.G. ... Nepveu, G. Lapalme, P. Langlais, and G. Foster. 2004.Adaptive language and translation models for interac-tive machine translation. In Proc. EMNLP, pages 190–197.F. J. Och and H. Ney. 2002. Discriminative...
... 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 ... more than one translation center for Russian language materials for the immediate future. However, as our capability grows and we are able to handle new languages and new disciplines, expansion ... tional machinetranslation production from Russian- language materials, I do not wish to suggest that all problems in the transference of meaning from one language to another by machine have...
... 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: ... 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. ... 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.:...
... Large and significant gains in translation quality were obtained on various translation tasks and conditions.• A significant improvement of translation quality was achieved in a multi-source trans-lation ... Workshopon Spoken Language Translation, pp. 1–12, Kyoto,Japan.S. Bangalore, G. Bordel, G. Riccardi. 2001. Comput-ing Consensus Translation from Multiple Machine Translation Systems. IEEE Workshop ... yearlater with an improved system. We comparedthe consensus translation with this new translation (last line of Table 2). It can be observed that theconsensus translation based on the MT systemsdeveloped...
... statistical machine translation. In Proc. ACL,pages 177–180.P. Langlais, G. Lapalme, and M. Loranger. 2002.Transtype: Development-evaluation cycles to boosttranslator’s productivity. Machine Translation, 15(4):77–98.F. ... within an interactive- predictive machinetranslationsystem inorder to reduce human effort. If a smallloss in translation quality can be toleratedfor the sake of efficiency, user effort canbe ... a human trans-lator and a SMT system collaborate in order toobtain the translation the user has in mind. Oncethe user has interactively translated the source sen-tences, the output translations...
... Manning, 2001; Huang and Chiang, 2005) and machine translation (Chiang, 2007; Huang and Chi-ang, 2007).More formally, a hypergraph is a pair ⟨V, E⟩where V is the set of nodes and E is the set ... joint workshop on sta-tistical machinetranslation and metrics for machine translation. In Proceedings of the Joint Fifth Workshopon Statistical MachineTranslation and MetricsMATR,pages 17–53, ... helpful comments and discussion.ReferencesSrinivas Bangalore, German Bordel, and Giuseppe Ric-cardi. 2001. Computing consensus translation frommultiple machinetranslation systems. In Proceedingsof...
... Spain{valabau,asanchis,fcn}@iti.upv.esAbstractIn interactivemachinetranslation (IMT), a hu-man expert is integrated into the core of a ma-chine translation (MT) system. The human ex-pert interacts ... Koehn and B. Haddow.2009. Interactive assistance to human translators usingstatistical machinetranslation methods. In Proceed-ings of MT Summit XII, pages 73–80, Ottawa, Canada.[Luj´ an- Mares ... Isabelle, and P. Plamon-don. 1998. Target-text mediated interactive machine translation. Machine Translation, 12:175–194.[Guyon et al.1994] Isabelle Guyon, Lambert Schomaker,R´ejean Plamondon,...
... for machinetranslation systems. The Particle-Driven Analyzer (PDA) is a robust intrasentence analyzer designed to handle ungrammatical sentences in an elegant and efficient manner. While analyzers ... Wilks, Y. 1973. An Artificial Intelligence Approach to Machine Translation. In: Schank, R. C. and Colby, K., Eds., Computer Models of Thought and Language. W. H. Freeman, San Francisco, California: ... TilE JAPANESE LANGUAGE The difficulty of translation depends on the similarity between the languages involved. Japanese and English are vastly different languages. Translation from Japanese...
... Paulik, S. Roukos, H. Schwenk, and H. Ney. System Combination for MachineTranslation of Spoken and Written Language. IEEE Transac-tions on Audio, Speech and Language Processing, volume 16, ... Combining Outputs from MachineTranslation Systems. In Proceeding of EMNLP. Hawaii, US, Oct. F. Huang and K. Papinent. 2007. Hierarchical System Combination for Machine Translation. In Proceed-ings ... Statistical Machine Translation, pp. 183-186. K. C. Sim, W. J. Byrne, M. J.F. Gales, H. Sahbi, and P. C. Woodland. 2007. Consensus network decod-ing for statistical machinetranslationsystem com-bination....
... Jonathan Weese, and Omar Zaidan. 2009. Joshua: An Open Source Toolkit for Parsing-Based Machine Translation. In Proc. of the Workshop on Statistical Machine Translation, pages 135–139. Yang ... high quality machinetranslation systems. The NiuTrans toolkit supports most statistical machinetranslation (SMT) paradigms developed over the past decade, and allows for training and decoding ... LinguisticsNiuTrans: An Open Source Toolkit for Phrase-based and Syntax-based MachineTranslation Tong Xiao†‡, Jingbo Zhu†‡, Hao Zhang† and Qiang Li† †Natural Language Processing...