Báo cáo khoa học: "Efficient Search for Interactive Statistical Machine Translation" doc

Báo cáo khoa học: "Efficient Search for Interactive Statistical Machine Translation" doc

Báo cáo khoa học: "Efficient Search for Interactive Statistical Machine Translation" doc

... Efficient Search for Interactive Statistical Machine Translation Franz Josef Och l and Richard Zens and Hermann Ney Chair ... concept of interactive machine translation, first suggested by (Foster et al., 1996), finds a very natural implementation in the framework of statis- tical machine translation. In interactive machine translation, ... Technology foch,zens,neyl@cs....
Ngày tải lên : 08/03/2014, 21:20
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Báo cáo khoa học: "Active Learning for Multilingual Statistical Machine Translation∗" ppt

Báo cáo khoa học: "Active Learning for Multilingual Statistical Machine Translation∗" ppt

... selection methods that improve AL for phrase-based SMT in the multilingual and single language pair setting. 1 Introduction The main source of training data for statistical machine translation (SMT) ... individual machine translation tasks for several language pairs. The nature of the translation processes vary from any of the source ∗ Thanks to James Peltier for systems support...
Ngày tải lên : 23/03/2014, 16:21
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Báo cáo khoa học: "Word Sense Disambiguation Improves Statistical Machine Translation" docx

Báo cáo khoa học: "Word Sense Disambiguation Improves Statistical Machine Translation" docx

... show for the first time that integrating a WSD sys- tem improves the performance of a state-of- the-art statistical MT system on an actual translation task. Furthermore, the improve- ment is statistically ... better translation performance than Pharaoh (Koehn, 2004a), which is a state-of-the-art phrase- based statistical MT system. Recently, some researchers investigated whether performi...
Ngày tải lên : 08/03/2014, 02:21
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Báo cáo khoa học: "Pseudo-word for Phrase-based Machine Translation" pot

Báo cáo khoa học: "Pseudo-word for Phrase-based Machine Translation" pot

... Algorithm of Searching for Monolin- gual Pseudo-words (SMP) Searching for monolingual pseudo-words is based on the computation of monolingual se- quence significance. Figure 1 presents the search ... Algorithm of Synchronous Searching for Pseudo-words (SSP) Synchronous searching for pseudo-words utilizes bilingual sequence significance. Figure 2 pre- sents the search algorithm...
Ngày tải lên : 23/03/2014, 16:20
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Báo cáo khoa học: "VOCAL INTEILFACE FOR A MAN-MACHINE DIALOG " doc

Báo cáo khoa học: "VOCAL INTEILFACE FOR A MAN-MACHINE DIALOG " doc

... fields by allowing an interactive vocal relation between the machine and its user for the execution of a specific task : the application that we have chosen is a man -machine communication ... representation which con- denses and organizes information into the very same form as that of the concept relation rules from knowledge data. Therefore, semantic validity can be easily tes...
Ngày tải lên : 24/03/2014, 05:21
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Báo cáo khoa học: "Enhancing Language Models in Statistical Machine Translation with Backward N-grams and Mutual Information Triggers" ppt

Báo cáo khoa học: "Enhancing Language Models in Statistical Machine Translation with Backward N-grams and Mutual Information Triggers" ppt

... Association for Com- putational Linguistics. Dekai Wu. 1996. A polynomial-time algorithm for sta- tistical machine translation. In Proceedings of the 34th Annual Meeting of the Association for Computational Linguistics, ... Association for Computational Linguistics, pages 1288–1297, Portland, Oregon, June 19-24, 2011. c 2011 Association for Computational Linguistics Enhancing Lan...
Ngày tải lên : 07/03/2014, 22:20
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Báo cáo khoa học: "Applying Morphology Generation Models to Machine Translation" docx

Báo cáo khoa học: "Applying Morphology Generation Models to Machine Translation" docx

... subcomponent for generating word inflec- tions into a statistical machine translation (SMT) system. Our research is built on previous work in the area of using morpho-syntactic information for improving ... the translation models. 6 MT performance results Before delving into the results for each method, we discuss our evaluation measures. For automatically measuring performance, we...
Ngày tải lên : 08/03/2014, 01:20
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Báo cáo khoa học: "Tailoring Word Alignments to Syntactic Machine Translation" docx

Báo cáo khoa học: "Tailoring Word Alignments to Syntactic Machine Translation" docx

... 2007. c 2007 Association for Computational Linguistics Tailoring Word Alignments to Syntactic Machine Translation John DeNero Computer Science Division University of California, Berkeley denero@berkeley.edu Dan ... with separate parameters for j = 1, j = J and shared parameters for all 1 < j < J. Null alignments have fixed probability at any position. Inference over a requires o...
Ngày tải lên : 08/03/2014, 02:21
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Báo cáo khoa học: "Modeling with Structures in Statistical Machine Translation" pot

Báo cáo khoa học: "Modeling with Structures in Statistical Machine Translation" pot

... little interest for the structure-based alignment model if we have to manually find 1360 the language structures and write a grammar for them, since the primary merit of statistical machine translation ... (400,000 words altogether for both languages) were used for training. The same data were used to train Simplified Model 2 (Wang and Waibel, 1997) and IBM Model 3 for pe...
Ngày tải lên : 08/03/2014, 06:20
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Tài liệu Báo cáo khoa học: "Unsupervised Search for The Optimal Segmentation for Statistical Machine Translation" doc

Tài liệu Báo cáo khoa học: "Unsupervised Search for The Optimal Segmentation for Statistical Machine Translation" doc

... Student Research Workshop, pages 31–36, Uppsala, Sweden, 13 July 2010. c 2010 Association for Computational Linguistics Unsupervised Search for The Optimal Segmentation for Statistical Machine ... morphological segmentation for statistical machine translation (SMT) and propose a segmentation metric that takes into account both sides of the SMT training corpus. We formulate...
Ngày tải lên : 20/02/2014, 04:20
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