... 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 ... generate a translation graph’ for every input sentence using a proce-dure similar to (Ueffing et al., 2002): atranslation graphis a compact way of representing candidate translationswhich are...
... 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 ... 2006.c2006 Association for Computational LinguisticsMaximum Entropy Based Phrase Reordering Model forStatisticalMachine Translation Deyi XiongInstitute of Computing TechnologyChinese Academy ... 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...
... 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 ... Statisti-cal Machine Translation. Machine Translation, pages77-94.Hua Wu, Haifeng Wang and Chengqing Zong. 2008. Do-main Adaptation forStatisticalMachine Translation with Domain Dictionary ... weblog.According to adaptation emphases, domain adap-tation in SMT can be classified into translation mod-el adaptation and language model adaptation. Herewe focus on how to adapt atranslation model, ...
... 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...
... Lexicon Models forStatisticalMachineTranslation using a Maximum Entropy ApproachIsmael Garc´ a VareaDpto. de Inform´aticaUniv. de Castilla-La ManchaCampus Universitario s/n02071 Albacete, ... 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 ... approach toadaptive statistical language modeling. Computer,Speech and Language, 10:187–228.Christoph Tillmann and Hermann Ney. 2000. Wordre-ordering and dp-based search in statistical ma-chine...
... Sense Disambiguation Improves StatisticalMachine Translation. In: Proceedings of ACL, Prague. D. Chiang. 2005. A hierarchical phrase-based model for statisticalmachine translation. In: Proceedings ... helpful for at least one multilingual application: statistical machine translation. Finally, although we described and evaluated bilingual sense similarity algorithms applied to a hierarchical ... similarities are hierar-chical rules. 2 Hierarchical phrase-based MT system The hierarchical phrase-based translation method (Chiang, 2005; Chiang, 2007) is a formal syntax-based translation...
... Language,22(3):295–312.Andreas Zollmann and Ashish Venugopal. 2006. Syn-tax augmented machinetranslation via chart pars-ing. In Proceedings of the NAACL-2006 Workshopon StatisticalMachineTranslation (WMT06), ... build machine translation evaluation sets. In Proceedings of the Workshop onCreating Speech and Language Data With Amazon’sMechanical Turk, Los Angeles, California, June.Association for Computational ... annotated in LDC data Figure 11: Bucking the trend: performance ofHNG-selected additional data from BBC webcrawl data annotated via Amazon MechanicalTurk. y-axis measures BLEU. x-axis measuresnumber...
... anahtar + ımı my key (ACC.)5 anahtarla anahtar + la with (the) key4 anahtarı anahtar + ı1(the) key (ACC.);2his/her key3 anahtarı + m anahtar + ım my key3 anahtarı + n anahtar + ın1your key;2of ... obtained after morpho-logical preprocessing can improve the machine translation performance over a word-based sys-tem (Habash and Sadat, 2006; Oflazer and DurgarEl-Kahlout, 2007; Bisazza and ... MIT Press.Nizar Habash and Fatiha Sadat. 2006. Arabic prepro-cessing schemes forstatisticalmachine translation. In Proc. of the HLT-NAACL, Companion Volume:Short Papers, pages 49–52, New...
... of alter-native translations of each source phrase (T/S) and theaverage source phrase length in the output (A. L.)-1.80 on average TER. An explanation is that us-ing identical alignment model ... Dolan. 2004.Monolingual machinetranslationfor paraphrase gen-eration. In Proceedings of EMNLP 2004, pages 142–149, Barcelona, Spain, July. Association for Computa-tional Linguistics.298 ... North American Chapter of the Association ofComputational Linguistics, HLT-NAACL ’06, pages17–24.Chris Callison-Burch. 2008. Syntactic constraintson paraphrases extracted from parallel corpora....
... Council of Canadafatiha.sadat@cnrc-nrc.gc.caNizar HabashCenter for Computational Learning SystemsColumbia Universityhabash@cs.columbia.eduAbstract Statistical machinetranslation is quite ... for Phrase-based StatisticalMachineTranslation Mod-els. In Proc. of the Association forMachine Trans-lation in the Americas (AMTA).P. Koehn. 2004b. Statistical Significance Tests for MachineTranslation ... Associa-tion for Computational Linguistics (ACL), Ann Ar-bor, Michigan.N. Habash and F. Sadat. 2006. Arabic Preprocess-ing Schemes forStatisticalMachine Translation. InProc. of NAACL, Brooklyn,...
... D., and Mercer, R. L.(1993). The mathematics of statisticalmachine translation. Computational Linguistics, 19(2):263–313.Charniak, E., Knight, K., and Yamada, K. (2003). Syntax-basedlanguage ... Improving astatistical MTsystem with automatically learned rewrite patterns. In Pro-ceedings of Coling 2004.Yamada, K. and Knight, K. (2001). A syntax-based statistical translation model. In ... which incorporate syntactic information within statistical machinetranslation systems (e.g., see (Al-shawi, 1996; Wu, 1997; Yamada and Knight, 2001;Gildea, 2003; Melamed, 2004; Graehl and Knight,2004;...