Báo cáo khoa học: "A Joint Sequence Translation Model with Integrated Reordering" doc

... Stuttgart {durrani,schmid,fraser}@ims.uni-stuttgart.de Abstract We present a novel machine translation model which models translation by a linear sequence of operations. In contrast to the “N-gram” model, this sequence includes not only trans- lation ... Oregon, June 19-24, 2011. c 2011 Association for Computational Linguistics A Joint Sequence Translation Model with In...

Ngày tải lên: 30/03/2014, 21:20

... (DOM) between two different languages, through a joint source-channel model, also called n-gram transliteration model (TM). With the n-gram TM model, we automate the orthographic alignment process ... source-channel model In view of the close coupling of the source and target transliteration units, we propose to estimate P(E,C) by a joint source-channel model, or n-gram t...

Ngày tải lên: 31/03/2014, 03:20

... For- mally, our joint probability model of hierarchical rule selection is described as follows: P (α, γ|C) = P (α|C)P (γ|α, C) (1) We decompose the joint probability model into two sub-models based ... se- lections with a relative global optimum instead of a local optimum that might be reached in the pre- 6 vious methods. Our proposed joint probability model is factored into fou...

Ngày tải lên: 23/03/2014, 16:20

... SSG-based Translation Model The translation in our SSG-based translation model can be treated as a SSG derivation. A derivation consists of a sequence of grammar rule applications. To model the ... N tgt ) with the hypotheses in the hypotheses stack corresponding with N src ’s span iteratively. end end end end Output the 1-best hypothesis in H[1, J] as the final translation....

Ngày tải lên: 31/03/2014, 00:20

... implement other translation models easily: 1) STSG-based model when 1d = ; 2) SCFG-based model when 1d = and 2h = ; 3) phrase-based translation model only (no reordering model) when 0c = ... and syntax-based methods. The pro- posed model adopts tree sequence 1 as the basic translation unit and utilizes tree sequence align- ments to model the translation process. T...

Ngày tải lên: 17/03/2014, 02:20

... instance with the minimal τ(c i k ), 2) the bracketable instance with the maximal τ(c i k ), 3) the unbracketable instance with the minimal τ(c i k ), and 4) the unbracketable instance with the maximal ... are the phrase translation probabilities in both directions and the lexical translation probabilities in both directions. P lm = language model; P r = MaxEnt-based reordering...

Ngày tải lên: 20/02/2014, 07:20

... Sessions, pages 61–64, Prague, June 2007. c 2007 Association for Computational Linguistics A Joint Statistical Model for Simultaneous Word Spacing and Spelling Error Correction for Korean Hyungjong ... errors. Likewise, algo- rithms for solving spelling error problem cannot work well with word spacing errors. To cope with the limitation, there is an algo- rithm proposed for Japa...

Ngày tải lên: 20/02/2014, 12:20

... general by a machine translation system is difficult, the. level clearly depends on the languages, the text type and the tasks involved in translation. INSTRA was designed with the goal of identifying ... accomplishes the five tasks I) without pre-editing and post-editing, 2) without relying on the user except in special cases involving unknown words, and 3) without fully underst...

Ngày tải lên: 08/03/2014, 18:20

... Seg W Segmented sentences Segmented sentences Segmented sentences Merging Sub-word sequences Sub-word tag- ger SubTag Figure 1: Workflow of the stacked sub-word model. In our model, segmentation and POS tagging in- teract with each other in two processes. ... word-based segmenter is based on a discriminative joint model with a first order semi-Markov structure, and the other seg- men...

Ngày tải lên: 17/03/2014, 00:20

... weights, so that the whole model is a weighted synchronous CFG. The word penalty is easy; the language model is integrated by intersecting the English-side CFG with the language model, which is a weighted ... we trained the transla- tion model on the FBIS corpus (7.2M+9.2M words); for the language model, we used the SRI Language Modeling Toolkit to train a trigram model with m...

Ngày tải lên: 17/03/2014, 05:20