resolution for machine translation

... issue in machine translation. In this paper we describe a technical solution for the issue, and reSent the performance evaluation of a machine trans- tion system on telegraphic messages before ... experiment. For this experiment, the subjects were asked to study a number of MUC- II sentences, and create about 20 MUC-II-like sentences. These 121 Ambiguity Resolution for Machine Translation ... than for text written in "~rammatical" English. Misparsing triggered by the ambiguity ot the input sentence often leads to a mistranslation in a machine translation system. Therefore,...

Ngày tải lên: 22/02/2014, 03:20

... Syntax- based language models for statistical machine transla- tion. MT Summit IX., Intl. Assoc. for Machine Trans- lation. C. Chelba and F. Jelinek. 1998. Exploiting syntactic structure for language modeling. ... client then calls the servers for pa- rameters to perform synchronous multi-stack search for each sentence to get the N-best list parse trees. Again, the expected count for a particular parameter of ... model with the syntax- based translation model Yamada and Knight pro- posed (2001) to rescore a tree-to-string translation forest, whereas we use only our language model for N-best list re-ranking....

Ngày tải lên: 20/02/2014, 04:20

... models in machine translation. In Proc. of EMNLP-CoNLL, pages 858–867. P. Chang, M. Galley, and C. Manning. 2008. Optimiz- ing Chinese word segmentation for machine transla- tion performance. ... Proc. of the ACL Workshop on Statistical Machine Translation, pages 224–232. D. Chiang. 2005. A hierarchical phrase-based model for statistical machine translation. In Proc. of ACL, pages 263–270. Y. ... Open source toolkit for statistical machine translation. In Proc. of ACL, Demonstration Session. D. Marcu, W. Wang, A. Echihabi, and K. Knight. 2006. SPMT: Statistical machine translation with syntact- ified...

Ngày tải lên: 20/02/2014, 07:20

... Association for Computational Linguistics A Discriminative Syntactic Word Order Model for Machine Translation Pi-Chuan Chang ∗ Computer Science Department Stanford University Stanford, CA 94305 pichuan@stanford.edu Kristina ... model for machine translation which makes use of both syntactic and surface information. The framework for our statistical model is as fol- lows. We assume the existence of a dependency tree for ... in- formation sources, is 94.5 BLEU points, which is a 35% improvement over the fist-pass models, relative to the upper bound. 6 Evaluation in Machine Translation We apply our model to machine translation...

Ngày tải lên: 20/02/2014, 12:20

... integer variable for each pair of hotels Fast Decoding and Optimal Decoding for Machine Translation Ulrich Germann , Michael Jahr , Kevin Knight , Daniel Marcu , and Kenji Yamada Information Sciences ... of any statistical machine translation system. The decoder’s job is to find the translation that is most likely according to set of previously learned parameters (and a formula for combin- ing them). ... Computer Science University of Southern California Stanford University 4676 Admiralty Way, Suite 1001 Stanford, CA 94305 Marina del Rey, CA 90292 jahr@cs.stanford.edu germann,knight,marcu,kyamada @isi.edu Abstract A...

Ngày tải lên: 20/02/2014, 18:20

... Phrase Translation. Ph.D. the- sis, Information Sciences Institute, USC, Los Ange- les, California. P. Koehn. 2004. Pharaoh: a beam search decoder for phrase-based statistical machine translation ... Conference of the Association for Machine Translation in the Americas, pages 115– 124, Washington, DC. P. Koehn. 2005. Europarl: A parallel corpus for sta- tistical machine translation. In Proceedings ... USA katrin@ee.washington.edu Abstract We propose a backoff model for phrase- based machine translation that translates unseen word forms in foreign-language text by hierarchical morphological ab- stractions...

Ngày tải lên: 22/02/2014, 02:20

... program for machine transla- tion has thus advanced since the first cycle be- gan, but must be improved in every respect be- fore machine translation is satisfactory without postediting. The machine- translation ... is to produce Russian- English translations suitable for the analyses described in the following section. 1. Machine Translation The 704 computer program for MT will eventually determine ... used here was designed for convenient machine printing. 2. H.P. Edmundson, D.G. Hays, E.K.Renner, and R.I.Sutton, "Studies in Machine Translation — 4: Manual for Pre-editing Russian...

Ngày tải lên: 07/03/2014, 18:20

... Omar Zaidan. 2009. Joshua: An open source toolkit for parsing-based machine translation. In Proceedings of the Work- shop on Statistical Machine Translation. Percy Liang, Ben Taskar, and Dan Klein. ... Association for Computational Linguistics Discriminative Modeling of Extraction Sets for Machine Translation John DeNero and Dan Klein Computer Science Division University of California, Berkeley {denero,klein}@cs.berkeley.edu Abstract We ... outperforms both un- supervised and supervised word aligners at pre- dicting word alignments and extraction sets. We also demonstrate that extraction sets are useful for end-to-end machine translation. ...

Ngày tải lên: 07/03/2014, 22:20

... standard metric for automatic evaluation of MT performance. To score a system translation, BLEU tabulates the number of n-gram matches of the system translation against one or more reference translations. ... Callison-Burch, C. Fordyce, P. Koehn, C. Monz, and J. Schroeder. 2007. (meta-) evaluation of machine translation. In Proceedingsof the Second Workshop on Statistical Machine Translation, ACL07, ... sentences for Europarl and 2,007 English sentences for News Commentary) and their translations in various lan- guages. As part of the workshop, correlations of the automatic metrics were measured for...

Ngày tải lên: 08/03/2014, 01:20

... Gildea. 2005. Syntactic fea- tures for evaluation of machine translation. In ACL 2005 Workshop on Intrinsic and Extrinsic Evalua- tion Measures for Machine Translation and/or Sum- marization. Bo ... N for i = 1; i ≤ M; i = i +1 do for j = 1; j ≤ N; j = j +1 do for k = 1; k ≤ i; k = k +1 do for m = 1; m ≤ j; m = m +1 do score i,j,k,m = max{score i−1,j,k,m ,score i,j−1,k,m } ; end for end for score i,j,i,j = max n=1,M;p=1,N {score i,j,i,j , ... |ref|; for i = 1; i ≤ M; i = i +1 do for j = 1; j ≤ N; j = j +1 do for k = 1; k ≤ i; k = k +1 do for m = 1; m ≤ j; m = m +1 do score i,j,k,m = max{score i−1,j,k,m , score i,j−1,k,m }; end for end for if...

Ngày tải lên: 08/03/2014, 02:21

... intervention is foreseen. Furthermore, techniques for the automatic resolution of template overlaps are under inves- tigation. Such techniques assume the presence of a bilingual lexicon. The information ... as much a problem for translation as for bilingual generation. In other words, no additional requirement is placed on the MT system which is not independently motivated by translation alone. ... lexicon was used for content words. Only a bilingual lexi- con for closed class words and a set of bilingual templates were used. Therefore, new bilingual entries were obtained for all the content...

Ngày tải lên: 08/03/2014, 06:20

... Association for Computational Linguistics:shortpapers, pages 407–412, Portland, Oregon, June 19-24, 2011. c 2011 Association for Computational Linguistics Domain Adaptation for Machine Translation ... able to find translations for otherwise OOV terms. We show several approaches to integrating such translations into a phrase- based translation system, yielding consistent improvements in translations ... to which this degrades translation perfor- mance. (For instance, if all unknown words are names, then copying them verbatim may be suffi- cient.) (2) Extend known methods for mining dic- tionaries...

Ngày tải lên: 17/03/2014, 00:20

... Toolkit for Statistical Machine Translation. In Proceedings of ACL-2007. pp. 177-180, Prague, Czech Republic. S. Kumar and W. Byrne. 2004. Minimum Bayes Risk Decoding for Statistical Machine Translation. ... Reordering Model for Statistical Machine Translation. In Proceeding of ACL-2006. pp.521-528. R. Zens and H. Ney. 2006. N-gram Posterior Prob- abilities for Statistical Machine Translation. In ... Alignment for Combining Outputs from Machine Translation Systems. In Proceeding of EMNLP. Hawaii, US, Oct. F. Huang and K. Papinent. 2007. Hierarchical System Combination for Machine Translation. ...

Ngày tải lên: 17/03/2014, 01:20

... Phrase Reordering Model for Statistical Machine Translation. In Proc. of ACL, Sydney, July. R. Zens and H. Ney. 2006. Discriminative Reordering Models for Statistical Machine Translation. In Proc. of ... more fluent translation results, which verifies its effectiveness. For future work, we aim at improving the predic- tion accuracy for the five-class setup using a richer feature set before applying ... Four evaluations for the MT experiments. Bold numbers refer to the best results. References P. Koehn. 2004. Pharaoh: a beam search decoder for phrase–based statistical machine translation models. In...

Ngày tải lên: 17/03/2014, 02:20

... parallel corpus for statis- tical machine translation. In MT Summit 2005. S. Niessen and H. Ney. 2004. Statistical machine transla- tion with scarce resources using morpho-syntactic infor- mation. ... 969–976, Sydney, July 2006. c 2006 Association for Computational Linguistics Modelling lexical redundancy for machine translation David Talbot and Miles Osborne School of Informatics, University of Edinburgh 2 ... and Machine Intelligence, 13(4). M. Cmejrek, J. Curin, J. Havelka, J. Hajic, and V. Kubon. 2004. Prague Czech-English dependency treebank: Syn- tactically annotated resources for machine translation. ...

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