statistical machine translation as a language model for handwriting recognition

... 47th Annual Meeting of the ACL and the 4th IJCNLP of the AFNLP, pages 333–341, Suntec, Singapore, 2-7 August 2009. c 2009 ACL and AFNLP Phrase-Based Statistical Machine Translation as a Traveling ... sentence are as follows: ID source target h cette this t traduction translation ht cette traduction this translation mt traduction automatique machine translation a automatique automatic m automatique ... do that exhaustively for all biphrases (relevant for the source sentence at hand) that, like i, have a single- word target, we will obtain a representation that allows a trigram language model...

Ngày tải lên: 20/02/2014, 07:20

... Lexicon Models for Statistical Machine Translation using a Maximum Entropy Approach Ismael Garc ´ a Varea Dpto. de Inform´atica Univ. de Castilla-La Mancha Campus Universitario s/n 02071 Albacete, ... approach to adaptive statistical language modeling. Computer, Speech and Language, 10:187–228. Christoph Tillmann and Hermann Ney. 2000. Word re-ordering and dp-based search in statistical ma- chine ... Stephan Vogel, Hermann Ney, and Christoph Tillmann. 1998. A DP-based search algorithm for statistical machine translation. In COLING-ACL ’98: 36th Annual Meeting of the As- sociation for Computational...

Ngày tải lên: 20/02/2014, 18:20

... Pala Alto. Lee, L. S. et al. (1990). A Mandarin Dictation Machine Based Upon A Hierarchical Recognition Approach and Chinese Natural Language Analysis, IEEE Trans. on Pattern Analysis and Machine ... correct rate of recognition can be as high as 98.3%. This indicates that the language processor based on the integration of the unification grammar and the Markov language model can in fact be ... grammatical and statistical language modeling approaches. The PATR-II-Iike unification grammar is used primarily to distinguish between well-formed, acceptable word sequences against ill-formed...

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... 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 ... Language, 14(4):283-332. D. Chiang. 2005. A hierarchical phrase-based model for statistical machine translation. The 43th Annual Con- ference on Association of Computational Linguistics (ACL), ... Stochastic analysis of lexical and semantic enhanced structural language model. The 8th International Colloquium on Grammatical Inference (ICGI), 97-111. K. Yamada and K. Knight. 2001. A syntax-based...

Ngày tải lên: 20/02/2014, 04:20

... paper, we present a block-based model for statis- tical machine translation. A block is a pair of phrases which are translations of each other. For example, Fig. 1 shows an Arabic-English translation ... Conference (HLT 04), pages 177–184, Boston, MA, May. Christoph Tillmann and Fei Xia. 2003. A Phrase-based Unigram Model for Statistical Machine Translation. In Companian Vol. of the Joint HLT and NAACL Confer- ence ... Method for Automatic Evaluation of machine translation. In Proc. of the 40th Annual Conf. of the Association for Computa- tional Linguistics (ACL 02), pages 311–318, Philadel- phia, PA, July. Charles...

Ngày tải lên: 20/02/2014, 15:20

... Language Model Biasing for Statistical Machine Translation Sankaranarayanan Ananthakrishnan, Rohit Prasad and Prem Natarajan Raytheon BBN Technologies Cambridge, MA 02138, U.S .A. {sanantha,rprasad,pnataraj}@bbn.com Abstract The ... not available for E2D. LM training data in words: 2.4M (Dari), 3.4M (Pashto) 4.1 Data Configuration Parallel data were made available under the Transtac program for both language pairs evaluated ... biasing as we move from low- resource languages to those for which significantly larger parallel corpora and LM training data are available. 448 References Yaser Al-Onaizan, Jan Curin, Michael...

Ngày tải lên: 17/03/2014, 00:20

... SPMT: statistical machine translation with syn- tactified target language phrases. EMNLP-06. 44-52. Franz J. Och and Hermann Ney. 2004. The alignment template approach to statistical machine translation. ... 704-711. Daniel Marcu and William Wong. 2002. A phrase- based, joint probability model for statistical machine translation. EMNLP-02, 133-139 Daniel Marcu, W. Wang, A. Echihabi and K. Knight. ... statistical translation model. ACL-01. 523-530 Min Zhang, Hongfei Jiang, AiTi Aw, Jun Sun, Sheng Li and Chew Lim Tan. 2007. A tree-to-tree alignment- based model for statistical machine translation. ...

Ngày tải lên: 17/03/2014, 01:20

... statistical machine translation. Natural Language Engineering. To appear. Daniel Marcu and William Wong. 2002. A phrase- based, joint probability model for statistical machine translation. In Proceedings ... the basic architecture of phrase segmentation (or generation), phrase reordering, and phrase translation remains the same. Phrase-based models can robustly perform trans- lations that are localized ... USA dchiang@umiacs.umd.edu Abstract We present a statistical phrase-based transla- tion model that uses hierarchical phrases— phrases that contain subphrases. The model is formally a synchronous...

Ngày tải lên: 17/03/2014, 05:20

... Linguistics Fast and Scalable Decoding with Language Model Look-Ahead for Phrase-based Statistical Machine Translation Joern Wuebker, Hermann Ney Human Language Technology and Pattern Recognition ... dynamic programming beam search in phrase-based statistical machine translation (SMT), aiming at increased effi- ciency of decoding by minimizing the number of language model computations and ... if we allow for a small degradation in translation per- formance, our approaches clearly outperform Moses in terms of translation speed. With phrase-only LM look-ahead, our decoder is faster by a...

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... 2007. Bilingual LSA-based adaptation for statistical machine translation. Machine Translation, pages 187-207. Nicola Ueffing, Gholamreza Haffari and Anoop Sarkar. 2008. Semi-supervised Model Adaptation for ... weblog. According to adaptation emphases, domain adap- tation in SMT can be classified into translation mod- el adaptation and language model adaptation. Here we focus on how to adapt a translation model, ... Statisti- cal Machine Translation. Machine Translation, pages 77-94. Hua Wu, Haifeng Wang and Chengqing Zong. 2008. Do- main Adaptation for Statistical Machine Translation with Domain Dictionary...

Ngày tải lên: 19/02/2014, 19:20

... 271-279. A. Ramanathan, Pushpak Bhattacharyya, Jayprasad Hegde, Ritesh M. Shah and Sasikumar M. 2008. Simple syntactic and morphological processing can help English-Hindi Statistical Machine Translation. In ... integrated into a phrase- based decoder serving as additional distortion fea- tures. We evaluated our approach on large-scale Japanese-English and English-Japanese machine translation tasks, and ... ranking model is auto- matically derived from word aligned parallel data with a syntactic parser for source lan- guage based on both lexical and syntactical features. We evaluated our approach...

Ngày tải lên: 19/02/2014, 19:20

... 2006. c 2006 Association for Computational Linguistics Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation Deyi Xiong Institute of Computing Technology Chinese Academy ... 100080 {liuqun, sxlin}@ict.ac.cn Abstract We propose a novel reordering model for phrase-based statistical machine transla- tion (SMT) that uses a maximum entropy (MaxEnt) model to predicate reorderings of ... source language (max(|s|, |t|)/min(|s|, |t|)) to 3. After extracting phrases, we calculated the phrase translation probabilities and lexical transla- tion probabilities in both directions for each...

Ngày tải lên: 08/03/2014, 02:21

... Decoder for Phrase-Based Statistical Machine Translation Models. In Proc. of AMTA-2004, pages 115-124. Philipp Koehn. 2005. Europarl: A Parallel Corpus for Statistical Machine Translation. ... 2007. c 2007 Association for Computational Linguistics Pivot Language Approach for Phrase-Based Statistical Machine Translation Hua Wu and Haifeng Wang Toshiba (China) Research and Development Center ... is easy to be adapted to any language pair where a pivot lan- guage and corresponding large bilingual corpora are available. 3 Phrase-Based SMT According to the translation model presented...

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