... 47th Annual Meeting of the ACL and the 4th IJCNLP of the AFNLP, pages 333–341,Suntec, Singapore, 2-7 August 2009.c2009 ACL and AFNLPPhrase-Based StatisticalMachineTranslationasa Traveling ... sentence are as follows:ID source targeth cette thist traduction translation ht cette traduction this translation mt traduction automatique machine translation a automatique automaticm automatique ... dothat exhaustively for all biphrases (relevant for thesource sentence at hand) that, like i, have a single-word target, we will obtain a representation thatallows a trigram language model...
... Lexicon Models forStatisticalMachineTranslation using a Maximum Entropy ApproachIsmael Garc´ a VareaDpto. de Inform´aticaUniv. de Castilla-La ManchaCampus Universitario s/n02071 Albacete, ... approach toadaptive statisticallanguage modeling. Computer,Speech and Language, 10:187–228.Christoph Tillmann and Hermann Ney. 2000. Wordre-ordering and dp-based search in statistical ma-chine ... Stephan Vogel, Hermann Ney, andChristoph Tillmann. 1998. A DP-based searchalgorithm forstatisticalmachine translation. InCOLING-ACL ’98: 36th Annual Meeting of the As- sociation for Computational...
... 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 languagemodel 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...
... Syntax-based language models forstatisticalmachine transla-tion. MT Summit IX., Intl. Assoc. forMachine Trans-lation.C. Chelba and F. Jelinek. 1998. Exploiting syntacticstructure forlanguage ... Language, 14(4):283-332.D. Chiang. 2005. A hierarchical phrase-based modelfor statistical machine translation. The 43th Annual Con-ference on Association of Computational Linguistics(ACL), ... Stochastic analysis of lexical andsemantic enhanced structural language model. The 8thInternational Colloquium on Grammatical Inference(ICGI), 97-111.K. Yamada and K. Knight. 2001. A syntax-based...
... paper, we present a block-based modelfor statis-tical machine translation. A block is a pair of phraseswhich are translations of each other. For example, Fig. 1shows an Arabic-English translation ... Conference(HLT 04), pages 177–184, Boston, MA, May.Christoph Tillmann and Fei Xia. 2003. A Phrase-basedUnigram ModelforStatisticalMachine Translation. InCompanian Vol. of the Joint HLT and NAACL Confer-ence ... Method for AutomaticEvaluation of machine translation. In Proc. of the40th Annual Conf. of the Association for Computa-tional Linguistics (ACL 02), pages 311–318, Philadel-phia, PA, July.Charles...
... LanguageModel Biasing forStatisticalMachine Translation Sankaranarayanan Ananthakrishnan, Rohit Prasad and Prem NatarajanRaytheon BBN TechnologiesCambridge, MA 02138, U.S .A. {sanantha,rprasad,pnataraj}@bbn.comAbstractThe ... not available for E2D.LM training data in words: 2.4M (Dari), 3.4M (Pashto)4.1 Data ConfigurationParallel data were made available under the Transtacprogram for both language pairs evaluated ... biasing as we move from low-resource languages to those for which significantlylarger parallel corpora and LM training data areavailable.448 ReferencesYaser Al-Onaizan, Jan Curin, Michael...
... SPMT: statisticalmachinetranslation with syn-tactified target language phrases. EMNLP-06. 44-52. Franz J. Och and Hermann Ney. 2004. The alignment template approach to statisticalmachine translation. ... 704-711. Daniel Marcu and William Wong. 2002. A phrase-based, joint probability modelforstatisticalmachine 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 modelforstatisticalmachine translation. ...
... statisticalmachine translation. Natural Language Engineering. To appear.Daniel Marcu and William Wong. 2002. A phrase-based, joint probability modelforstatistical machine translation. In Proceedings ... the basic architecture of phrasesegmentation (or generation), phrase reordering, andphrase translation remains the same.Phrase-based models can robustly perform trans-lations that are localized ... USAdchiang@umiacs.umd.eduAbstractWe present astatistical phrase-based transla-tion model that uses hierarchical phrases—phrases that contain subphrases. The model is formally a synchronous...
... LinguisticsFast and Scalable Decoding with LanguageModel Look-Ahead for Phrase-based StatisticalMachine Translation Joern Wuebker, Hermann NeyHuman Language Technologyand Pattern Recognition ... dynamic programming beamsearch in phrase-based statistical machine translation (SMT), aiming at increased effi-ciency of decoding by minimizing the numberof languagemodel computations and ... ifwe allow fora small degradation in translation per-formance, our approaches clearly outperform Mosesin terms of translation speed. With phrase-only LMlook-ahead, our decoder is faster by a...
... 2007.Bilingual LSA-based adaptation forstatistical 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 languagemodel adaptation. Herewe focus on how to adapt atranslation model, ... Statisti-cal Machine Translation. Machine Translation, pages77-94.Hua Wu, Haifeng Wang and Chengqing Zong. 2008. Do-main Adaptation forStatisticalMachine Translation with Domain Dictionary...
... 271-279. A. Ramanathan, Pushpak Bhattacharyya, JayprasadHegde, Ritesh M. Shah and Sasikumar M. 2008.Simple syntactic and morphological processing canhelp English-Hindi StatisticalMachine Translation. In ... integrated into a phrase-based decoder serving as additional distortion fea-tures.We evaluated our approach on large-scaleJapanese-English and English-Japanese machine translation tasks, and ... ranking model is auto-matically derived from word aligned paralleldata with a syntactic parser for source lan-guage based on both lexical and syntacticalfeatures. We evaluated our approach...
... 2006.c2006 Association for Computational LinguisticsMaximum Entropy Based Phrase Reordering Model forStatisticalMachine Translation Deyi XiongInstitute of Computing TechnologyChinese Academy ... 100080{liuqun, sxlin}@ict.ac.cnAbstractWe propose a novel reordering model for phrase-based statisticalmachine transla-tion (SMT) that uses a maximum entropy(MaxEnt) model to predicate reorderingsof ... source language (max(|s|, |t|)/min(|s|, |t|))to 3. After extracting phrases, we calculated thephrase translation probabilities and lexical transla-tion probabilities in both directions for each...
... Decoder for Phrase-Based StatisticalMachineTranslation Models. In Proc. of AMTA-2004, pages 115-124. Philipp Koehn. 2005. Europarl: A Parallel Corpus for Statistical Machine Translation. ... 2007.c2007 Association for Computational LinguisticsPivot Language Approach for Phrase-Based StatisticalMachine 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 translationmodel presented...