Báo cáo khoa học: "Decoding Algorithm in Statistical Machine Translation" pptx

... decoding process. We evalu- ate and compare these techniques/models in our statistical machine translation sys- tem. 1 Introduction 1.1 Statistical Machine Translation Statistical machine ... publications devoted to the decoding issue for statistical machine translation. On the other side, decoding algorithm is a crucial part in statistical machine translation...

Ngày tải lên: 24/03/2014, 03:21

... sets. 1 Introduction Statistical machine translation (SMT) relies on par- allel corpus. Aside from collecting parallel cor- pus, we have seen interesting research on automat- ically generating corpus ... translation models and bilingual lan- guage models to identify high quality sentence pairs, and use these sentence pairs in the SMT training. In the remaining part of the paper, we in...

Ngày tải lên: 20/02/2014, 04:20

... (2004). Statistical machine translation by pars- ing. In Proceedings of ACL 2004. Niessen, S. and Ney, H. (2004). Statistical machine translation with scarce resources using morpho-syntactic information. Computational ... morpho-syntactic information. Computational Linguistics, 30(2):181–204. Och, F. J. (2003). Minimum error rate training in statistical machine translation. I...

Ngày tải lên: 20/02/2014, 15:20

... decoding does not directly address word order issues. Indirectly, however, the phrase dictionary 1 in phrase-based decoders typically captures local reorderings that were seen in the training data. ... work on measuring word order differences between a given language pair in the context of statistical machine translation. 3 Measuring Word Order Similarity Between Two Language In t...

Ngày tải lên: 08/03/2014, 02:21

... component in the log-linear model, we have an alternative to the full re-training 26 Algorithm 1 Transductive learning algorithm for statistical machine translation 1: Input: training set L of ... training data. These se- lected sentence pairs are replaced in each iteration, and only the original bilingual training data, L, is kept fixed throughout the algorithm. The process of ge...

Ngày tải lên: 08/03/2014, 02:21

... JAPAN {takashi.onishi,mutiyama,eiichiro.sumita}@nict.go.jp Abstract Lattice decoding in statistical machine translation (SMT) is useful in speech translation and in the translation of Ger- man because it can handle input ambigu- ities such as speech ... expressions in training corpus leads to a decrease in translation quality. Therefore, we propose a novel method that can handle...

Ngày tải lên: 17/03/2014, 00:20

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Ngày tải lên: 17/03/2014, 05:20

... for Statistical Machine Translation Using Linguistic Features Deyi Xiong, Min Zhang, Haizhou Li Human Language Technology Institute for Infocomm Research 1 Fusionopolis Way, #21-01 Connexis, Singapore ... merged into a single step if we directly output predicting results from binary classifiers instead of making thresholding decision. Various features from different SMT models and system o...

Ngày tải lên: 23/03/2014, 16:20

... terminals and non-terminals, ∼ is a one-to-one mapping from non-terminal to- kens space in γ to non-terminal space in α, and ω is a non-negative weight assigned to the rule. The non-terminal ... (ex- panding the alignment by adding directly neigh- boring alignment points and alignment points in the diagonal neighborhood) (Och and Ney, 2003). Meanwhile, the target of the training corpus...

Ngày tải lên: 24/03/2014, 03:20

... very favourably with the leading systems on the NIST 2005 task. 1 Introduction Within the field of Machine Translation, by far the most dominant paradigm is Phrase-based Statistical Machine Translation (PBSMT) ... improves over the baseline PBSMT system. Interestingly, combining the two taggers together diminishes the benefits of supertagging seen with the individual LTAG and CCG systems....

Ngày tải lên: 31/03/2014, 01:20