Tài liệu Báo cáo khoa học: "Mixing Multiple Translation Models in Statistical Machine Translation" docx

... is outlined in Section 3. 2 Statistical Machine Translation The goal of the translation process in statisti- cal machine translation can be formulated as fol- lows: A source language string is ... 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...

Ngày tải lên: 20/02/2014, 18:20

... domains: text news, trained on a large cor- pus, and spoken travel conversation, trained on a sig- nificantly smaller corpus. We show that segmenting the Arabic target in training and decoding ... for re- combining the segmented Arabic, and compare their effect on translation. We also report on applying Factored Translation Models (Koehn and Hoang, 2007) for English-to-Arabic translati...

Ngày tải lên: 20/02/2014, 09:20

... 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 ... 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 eve...

Ngày tải lên: 20/02/2014, 15:20

... search algorithm in de- tail. Finally, experimental results for a bilingual cor- pus are reported. 1.1 Statistical Machine Translation In statistical machine translation, the goal of the search ... parameters of the model. 1.3 Search in Statistical Machine Translation In the last few years, there has been a number of papers considering the problem of finding an...

Ngày tải lên: 20/02/2014, 18:20

... for do- main adaptation in machine translation. 1 Introduction Statistical machine translation (SMT) systems re- quire large parallel corpora in order to be able to obtain a reasonable translation ... Blvd, Gatineau, QC, Canada george.foster@nrc.gc.ca Abstract Statistical machine translation is often faced with the problem of combining training data from many diverse sou...

Ngày tải lên: 19/02/2014, 19:20

... seedlings. The measured v alues are summarized in Table 2. The total cytokinin content in the grains was approximately threefold lower than in young seedlings. The increase was mainly observed in ... modeling of the flavoprotein catabolizing plant hormones cytokinins. In Recent Research Develop ments in Proteins, vol. 2. (Pandalai, S .G., ed.), pp. 63–81. Transworld Research Networ...

Ngày tải lên: 19/02/2014, 16:20

... Charniak, Kevin Knight, and Kenji Yamada. 2003. Syntax-based language models for statistical machine translation. In Proceedings of the Ninth Ma- chine Translation Summit of the International ... Osborne, and Philipp Koehn. 2007. CCG supertags in factored statistical machine translation. In Proceedings of the Second Workshop on Statistical Machine Translation, pages 9...

Ngày tải lên: 20/02/2014, 04:20

... Decoding The stack (also called A*) decoding algorithm is a kind of best-first search which was first intro- duced in the domain of speech recognition (Je- linek, 1969). By building solutions incremen- tally ... to right, but allowing the decoder to consume its input in any order. This change makes decod- ing significantly more complex in MT; instead of knowing the order of the input in...

Ngày tải lên: 20/02/2014, 18:20

... advantages of integrating EBMT with RBMT. 1 INTRODUCTION Machine Translation requires handcmt~ and complicated large-scale knowledge (Nirenburg 1987). Conventional machine translation systems ... FLOW In this section, the basic idea of EBMT, which is general and applicable to many phenomena dealt with by machine translation, is shown. In order to conquer these problems i...

Ngày tải lên: 20/02/2014, 21:20

... Minimum Error Rate Training in Statistical Machine Translation Franz Josef Och Information Sciences Institute University of Southern California 4676 Admiralty Way, Suite 1001 Marina del ... sentences. 4 Training Criteria for Minimum Error Rate Training In the following, we assume that we can measure the number of errors in sentence by comparing it with a reference sentence using a...

Ngày tải lên: 23/03/2014, 19:20