random restarts in minimum error rate training for statistical machine translation

Ngày tải lên: 23/03/2014, 17:20

Ngày tải lên: 23/03/2014, 16:21

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Ngày tải lên: 23/03/2014, 16:20

Ngày tải lên: 23/03/2014, 16:20

... Adaptation for 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 ... be obtained more easily. In this paper, we propose a novel approach for translation model adapta- tion by utilizing in- domain monolingual top- ic information instead of the in- domain bilin- gual ... both the in- domain monolingual cor- pora and the out-of-domain bilingual corpus to in- corporate the topic information into our translation model, thus breaking down the corpus barrier for translation...

Ngày tải lên: 19/02/2014, 19:20

... Phrase-Based Model for Statistical Machine Translation. In Proc. ACL, pages 263-270. Michael Collins, Philipp Koehn and Ivona Kucerova. 2005. Clause restructuring for statistical machine translation. In Proc. ... Reordering for Statistical Ma- chine Translation. In Proc. ACL, pages 720-727. Yang Liu, Qun Liu, and Shouxun Lin. 2006. Tree- to-String Alignment Template for Statistical Machine Translation. In ... can help English-Hindi Statistical Machine Translation. In Proc. IJCNLP. Roy Tromble. 2009. Search and Learning for the Lin- ear Ordering Problem with an Application to Machine Translation. Ph.D....

Ngày tải lên: 19/02/2014, 19:20

... Disambiguation Improves Statistical Machine Translation. In: Proceedings of ACL, Prague. D. Chiang. 2005. A hierarchical phrase-based model for statistical machine translation. In: Proceedings of ACL, ... 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 Statistical Machine Translation. ... Toolkit for Parsing-based Machine Translation. In: Proceedings of the WMT. March. Athens, Greece. D. Lin. 1998. Automatic retrieval and clustering of similar words. In: Proceedings of COLING/ACL- 98....

Ngày tải lên: 20/02/2014, 04:20

... toolkit for parsing-based machine translation. In Proceedings of the Fourth Workshop on Statistical Machine Translation, pages 135–139, Athens, Greece, March. Association for Computational Linguistics. Francois ... 2009. Active learning for multilingual statistical machine trans- lation. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th In- ternational Joint Conference ... se- quential algorithm for training text classifiers. In SI- GIR ’94: Proceedings of the 17th annual interna- tional ACM SIGIR conference on Research and de- velopment in information retrieval,...

Ngày tải lên: 20/02/2014, 04:20

... El-Kahlout and Kemal Oflazer. 2006. Initial explorations in English to Turkish statistical machine translation. In Proceedings of the Work- shop on Statistical Machine Translation, pages 7– 14, New ... matching by identifying redundant distinctions in the morphology of one language compared to another. 3 Method Maximizing translation performance directly would require SMT training and decoding for each ... editors, Learning Machine Transla- tion, chapter 5, pages 93–110. MIT Press. Nizar Habash and Fatiha Sadat. 2006. Arabic prepro- cessing schemes for statistical machine translation. In Proc. of...

Ngày tải lên: 20/02/2014, 04:20

... Open source toolkit for statistical machine translation. In Proceedings of the 45th Annual Meeting of the Association for Com- putational Linguistics Companion Volume Proceed- ings of the Demo and ... Dolan. 2004. Monolingual machine translation for paraphrase gen- eration. In Proceedings of EMNLP 2004, pages 142– 149, Barcelona, Spain, July. Association for Computa- tional Linguistics. 298  ... to filter the generated sentence pairs. The fil- tered corpus is used for training phrase-based translation models, which can be used directly in translation tasks or combined with base- line models....

Ngày tải lên: 20/02/2014, 04:20

... for Phrase-based Statistical Machine Translation Mod- els. In Proc. of the Association for Machine Trans- lation in the Americas (AMTA). P. Koehn. 2004b. Statistical Significance Tests for Machine Translation ... Computational Linguistics, 30(2). T. Nomoto. 2004. Multi-Engine Machine Transla- tion with Voted Language Model. In Proc. of ACL, Barcelona, Spain. F. Och. 2003. Minimum Error Rate Training in Sta- tistical ... word-level preprocessing schemes for Arabic on the quality of phrase-based statistical machine translation. We also present and evalu- ate different methods for combining pre- processing schemes resulting in improved translation...

Ngày tải lên: 20/02/2014, 11:21

... (2004). Statistical machine translation with scarce resources using morpho-syntactic information. Computational Linguistics, 30(2):181–204. Och, F. J. (2003). Minimum error rate training in statistical machine ... phrase-based, joint proba- bility model for statistical machine translation. In Proceed- ings of EMNLP 2002. Melamed, I. D. (2004). Statistical machine translation by pars- ing. In Proceedings of ACL ... features for statistical machine translation. In Proceedings of HLT- NAACL 2004. Och, F. J., Tillmann, C., and Ney, H. (1999). Improved align- ment models for statistical machine translation. In Proceed- ings...

Ngày tải lên: 20/02/2014, 15:20

... change in perfor- mance between training on the original training data in Eq. 2 or on the modified training data in Eq. 10. Line shows that even when training the float weights on an event set obtained ... results in line - are obtained by training ’float’ weights only. Here, the training is carried out by running only once over % of the training data. The model including the binary features is trained ... improvement. Line shows that including binary features and training their weights on the training data actually decreases performance. This issue is addressed in Section 5.2. The training is carried...

Ngày tải lên: 20/02/2014, 15:20

... shown in Table 5. 6.2 Training and test perplexities In order to compute the training and test perplex- ities, we split the whole aligned training corpus in two parts as shown in Table 6. The training and ... notice that we will have to ob- tain one ME model for each target word observed in the training data. 4 Contextual information and training events In order to train the ME model associated to a ... search algorithm for statistical machine translation. In COLING-ACL ’98: 36th Annual Meeting of the As- sociation for Computational Linguistics and 17th Int. Conf. on Computational Linguistics, pages 960–967,...

Ngày tải lên: 20/02/2014, 18:20

... the entire meaning of the input. Incorrect translations are ungrammatical or con- vey little meaningful information or the information is different from the input. Examples for each category ... recursion formula for DP. In the following, we will explain this method in detail. 2.3 Recursion Formula for DP In the DP formalism, the search process is described recursively. Assuming a ... labels. Table 1: Training and test conditions of the Verb- mobil task. formed sample translations (i.e. after labelling) was 13.8. In preliminary evaluations, optimal values for the thresholds...

Ngày tải lên: 20/02/2014, 18:20

... statistics for Chinese (Zh) character segmentation and English (En) minimum- error- rate training can be performed. 7 Finally, in the decoding stage, we use the same segmentation algorithm to obtain the ... de- scribed in (Koehn et al., 2003), minimum- error- rate training (Och, 2003), a 5-gram language model with Kneser-Ney smoothing trained with SRILM (Stolcke, 2002) on the English side of the training ... dif- ferent data conditions. 1 Introduction State-of-the-art Statistical Machine Translation (SMT) requires a certain amount of bilingual cor- pora as training data in order to achieve compet- itive...

Ngày tải lên: 22/02/2014, 02:20

... 2009. Efficient Minimum Error Rate Training and Minimum Bayes-Risk Decoding for Translation Hypergraphs and Lattices. In Proceed- ings of the Association for Computational Linguis- tics, pages ... 2009. Joint Decoding with Multiple Translation Models. In Proceedings of the Association for Computational Linguistics, pages 576-584. Franz Och. 2003. Minimum Error Rate Training in Sta- tistical ... Statistical Machine Translation. In Proceedings of the Association for Computational Linguistics, pages 521-528. Yang Ye, Ming Zhou, and Chin-Yew Lin. 2007. Sen- tence Level Machine Translation...

Ngày tải lên: 07/03/2014, 22:20

... features for statistical machine translation. In HLT- NAACL 2004: Main Proceedings, pages 161–168. F. J. Och. 2003. Minimum error rate training for statisti- cal machine translation. In ACL, pages ... Considerations in maximum mutual information and minimum classifi- cation error training for statistical machine translation. In EAMT. C. Wang, M. Collins, and P. Koehn. 2007. Chinese syn- tactic reordering ... role of BLEU in machine translation re- search. In EACL, pages 249–256. C. Cherry and D. Lin. 2006. Soft syntactic constraints for word alignment through discriminative training. In COLING-ACL, Sydney,...

Ngày tải lên: 08/03/2014, 01:20

... can learn reorderings from training data just like learning phrasal translations. Lexicalized re- ordering model learns reorderings from training data, but it binds reorderings to individual concrete phrases, ... Association for Computational Linguistics Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation Deyi Xiong Institute of Computing Technology Chinese Academy of Sciences Beijing, ... k-best list is very important for the minimum error rate training (Och, 2003a) which is used for tuning the weights λ for our model. We use a very lazy algorithm for the k-best list generation,...

Ngày tải lên: 08/03/2014, 02:21