... removed for TMtraining. For both tasks, we perform weight tuning and testing on specified development and test sets.We compare the accuracy of our proposed methodof jointphrasealignmentandextraction ... iteratively-trained segmentation-free phrasetranslation model for statisticalmachine translation. In Proceedings ofthe 2nd Workshop on StatisticalMachine Translation, pages 112–119.David Newman, ... parameters s and d over all phrase pairs inthe model, long phrase pairs are much more sparse635Figure 3: The phrase, block, and word alignments usedin heuristic phrase extraction. 5.1 Heuristic Phrase...
... automaticevaluation of machine translation. In HLT-NACCLWorkshop on StatisticalMachine Translation, pages102–121.P. Koehn, F. J. Och, and D. Marcu. 2003. Statistical phrase- based translation. In ... tree mappings for machine translation. In ACL, Sapporo, Japan.Short paper.H. J. Fox. 2002. Phrasal cohesion andstatistical machine translation. In EMNLP, pages 304–311.J. Graehl and K. Knight. ... Hierarchical phrase- based translation. Computational Linguistics, 33(2):201–228, June.M. Collins, P. Koehn, and I. Kucerova. 2005. Clause re-structuring forstatisticalmachine translation. ...
... 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. ... sourcetoolkit forstatisticalmachine translation. In Proc. ofACL 2007, Demonstration Session, pages 177-180.Yang Liu, Qun Liu and Shouxun Lin. 2006. Tree-to-String Alignment Template forStatistical Machine Translation. ... topic-specific translation model and thetopic posterior distribution of phrases.Formally, we incorporate monolingual topic in-formation into translation probability estimation, and decompose the phrase...
... Hierarchical Phrase- BasedModel forStatisticalMachine Translation. In Proc.ACL, pages 263-270.Michael Collins, Philipp Koehn and Ivona Kucerova.2005. Clause restructuring forstatistical machine translation. ... Zhao and Xiaoqiang Luo. 2010.Constituent reordering and syntax models for English-to-Japanese statisticalmachine translation. In Proc.Coling.Chi-Ho Li, Minghui Li, Dongdong Zhang, Mu Li and Ming ... Shah and Sasikumar M. 2008.Simple syntactic and morphological processing canhelp English-Hindi StatisticalMachine Translation. In Proc. IJCNLP.Roy Tromble. 2009. Search and Learning for the...
... data for α and for γ, re-spectively. coocfC and cooceC are the contexts for α and γ when α and γco-occur. Obviously, they satisfy the constraints: fullfcoocfCC ⊆ and ... 11,001 new features forstatisticalmachine translation. In: Proc. NAACL HLT, pp. 218–226. K. W. Church and P. Hanks. 1990. Word association norms, mutual information, and lexicography. Computational ... and L. Marquez. 2009. Discriminative Phrase Selection for SMT. In: Goutte et al (ed.), Learning Machine Translation. MIT Press. K. Gimpel and N. A. Smith. 2008. Rich Source-Side Context for...
... Suntec,Singapore, August. Association for ComputationalLinguistics.Gholamreza Haffari, Maxim Roy, and Anoop Sarkar.2009. Active learning forstatistical phrase- based machine translation. In Proceedings ... WrenThornton, Jonathan Weese, and Omar Zaidan. 2009.Joshua: An open source toolkit for parsing-based machine translation. In Proceedings of the FourthWorkshop on StatisticalMachine Translation, pages135–139, ... HNG, for short.HNG solicits translations only for trigger n-grams and not for entire sentences. We provide senten-tial context, highlight the trigger n-gram that wewant translated, and ask for...
... reference translations.We used GIZA++ (Och and Ney, 2003) for post-segmentation token alignments and the Mosestoolkit (Koehn et al., 2007) with default param-eters for phrase- based translation ... to Turkish statistical machine translation. In Proceedings of the Work-shop on StatisticalMachine Translation, pages 7–14, New York City, New York, USA.Jakob Elming, Nizar Habash, and Josep ... Bojar, AlexandraConstantin, and Evan Herbst. 2007. Moses: Opensource toolkit forstatisticalmachine translation. InProceedings of the 45th Annual Meeting of the Asso-ciation for Computational...
... 294–298,Portland, Oregon, June 19-24, 2011.c2011 Association for Computational LinguisticsCorpus Expansion forStatisticalMachineTranslation withSemantic Role Label Substitution RulesQin Gao and ... Association for Computational Linguistics.Philipp Koehn et al. 2007. Moses: Open source toolkit for statisticalmachine translation. In Proceedings ofthe 45th Annual Meeting of the Association for ... Chris Brockett, and William Dolan. 2004.Monolingual machinetranslationfor paraphrase gen-eration. In Proceedings of EMNLP 2004, pages 142–149, Barcelona, Spain, July. Association for Computa-tional...
... Decoder 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 Machine ... schemes for Arabic on thequality of phrase- based statistical machine translation. We also present and evalu-ate different methods for combining pre-processing schemes resulting in improved translation ... sen-tence and document alignment, system translation confidence, phrasetranslation lexicons, etc.We extend on previous work by experimentingwith a wider range of preprocessing schemes for Arabic and...
... system.Marcu, D. and Wong, W. (2002). A phrase- based, joint proba-bility model forstatisticalmachine translation. In Proceed-ings of EMNLP 2002.Melamed, I. D. (2004). Statisticalmachinetranslation ... significance tests for machine translation evaluation. In Lin, D. and Wu, D., editors, Pro-ceedings of EMNLP 2004.Koehn, P. and Knight, K. (2003). Feature-rich statistical trans-lation of noun phrases. ... models forstatisticalmachine translation. In Proceed-ings of EMNLP 1999, pages 20–28.Papineni, K., Roukos, S., Ward, T., and Zhu, W J. (2002).BLEU: a method for automatic evaluation of machine...
... novel trainingmethod for a localized phrase- based predic-tion model forstatisticalmachine translation (SMT). The model predicts blocks with orien-tation to handle local phrase re-ordering. ... a block-based model for statis-tical machine translation. A block is a pair of phraseswhich are translations of each other. For example, Fig. 1shows an Arabic-English translation example that ... Tillmann, and Hermann Ney.1999. Improved Alignment Models forStatistical Ma-chine Translation. In Proc. of the Joint Conf. on Em-pirical Methods in Natural Language Processing and Very Large...
... word and repre-sents a specific source word.Category if and only if 12 and 2 and 3 and 3 and 6 and 7 and for the word pair , we use the followingcategories of features:1. ( )2. ( ) and 3. ... features:1. ( )2. ( ) and 3. ( ) and 4. ( ) and 5. ( ) and 6. ( ) and 7. ( ) and 8. ( ) and 9. ( ) and Category 1 features depend only on the sourceword and the target word . A ME model thatuses ... entropy approach is outlined inSection 3.2 StatisticalMachine Translation The goal of the translation process in statisti-cal machinetranslation can be formulated as fol-lows: A source language...
... experimental results for a bilingual cor- pus are reported. 1.1 StatisticalMachineTranslation In statisticalmachine translation, the goal of the search strategy can be formulated as follows: ... problem formachinetranslation systems that use translation models based on hid- den alignments without a monotonicity constraint: (Berger et al., !994) and (Wang and Waibel, 1997). The former ... Reference Transla- tion e and Translator Output e ~ for "acceptable" translations (A) and "incorrect" translations (I). For the total number of non-correct translations (T), the...