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[PDF] Top 20 Sentence Type Based Reordering Model for Statistical Machine Translation

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Sentence Type Based Reordering Model for Statistical Machine Translation

Sentence Type Based Reordering Model for Statistical Machine Translation

... reordering model. Ta- ble 8 gives the results. For the two test sets, the model brings an improvement to the baseline by ...other sentence types in Test 2 are much fewer than that in Test ... See full document

8

A Unified Model for Soft Linguistic Reordering Constraints in Statistical Machine Translation

A Unified Model for Soft Linguistic Reordering Constraints in Statistical Machine Translation

... reordering type, and let the other non-gold three types share ...ing type, we run GIZA++ to get the alignment for tuning/test source sentences and each of four ref- erence ...gold reordering ... See full document

11

Word reordering for Statistical Machine Translation Using Trigram Language Model

Word reordering for Statistical Machine Translation Using Trigram Language Model

... between the output sentences and the standard an- swers? It turns out that any method for determin- ing the distance between permutations also works in our model. The concept of inversion pairs is usually used to ... See full document

6

Non projective Dependency based Pre Reordering with Recurrent Neural Network for Machine Translation

Non projective Dependency based Pre Reordering with Recurrent Neural Network for Machine Translation

... Fully statistical approaches, on the other hand, learn the reordering relation from word ...learn reordering rules on the constituency (Dyer and Resnik, 2010) (Khalilov and Fonollosa, 2011) or pro- ... See full document

11

Cut the noise: Mutually reinforcing reordering and alignments for improved machine translation

Cut the noise: Mutually reinforcing reordering and alignments for improved machine translation

... language sentence to match target word order has proved to be useful for improving machine transla- tion ...a reordering model can be learned from high quality manual word alignments to ... See full document

10

Non projective Dependency based Pre Reordering with Recurrent Neural Network for Machine Translation

Non projective Dependency based Pre Reordering with Recurrent Neural Network for Machine Translation

... Fully statistical approaches, on the other hand, learn the reordering relation from word ...learn reordering rules on the constituency (Dyer and Resnik, 2010) (Khalilov and Fonollosa, 2011) or ... See full document

11

Syntax Based Reordering with Automatically Derived Rules for Improved Statistical Machine Translation

Syntax Based Reordering with Automatically Derived Rules for Improved Statistical Machine Translation

... rules based on a dependency parse and they report a negative result for Arabic to En- glish ...best reordering (in- stead of a lattice with possible reorderings) which makes the decoding significantly more ... See full document

9

Adaptation of Reordering Models for Statistical Machine Translation

Adaptation of Reordering Models for Statistical Machine Translation

... sophisticated type of reorder- ing model has often been adopted as well, and has yielded consistent performance ...This type of RM typically identifies three possible orientations for a newly chosen ... See full document

9

Chinese Syntactic Reordering for Statistical Machine Translation

Chinese Syntactic Reordering for Statistical Machine Translation

... this sentence quite different from that of the English ...word reordering will be quite difficult for the word or phrase-based alignment model to ...a reordering rule to reposition the ... See full document

9

Advancements in Reordering Models for Statistical Machine Translation

Advancements in Reordering Models for Statistical Machine Translation

... language model (LM), a phrase translation model and a word-based lexicon ...ing model for the baseline system is the distance- based jump model which uses linear ...This ... See full document

11

Linguistically Motivated Reordering Modeling for Phrase-Based Statistical Machine Translation

Linguistically Motivated Reordering Modeling for Phrase-Based Statistical Machine Translation

... phrase translation model, a lexicalized reordering model, a 6-gram target lan- guage model, distortion cost, word and phrase ...baseline reordering model is a hierarchical ... See full document

138

Reordering Model Using Syntactic Information of a Source Tree for Statistical Machine Translation

Reordering Model Using Syntactic Information of a Source Tree for Statistical Machine Translation

... a reordering model us- ing syntactic information of a source tree for phrase-based statistical machine ...proposed model is an extension of IST- ITG (imposing source tree on ... See full document

9

Transformation based Sentence Splitting method for Statistical Machine Translation

Transformation based Sentence Splitting method for Statistical Machine Translation

... to machine translation have been studied actively, after the formalism of statis- tical machine translation (SMT) is proposed by Brown et ...longer sentence contains more possibilities ... See full document

6

Experiments with POS based restructuring and alignment based reordering for statistical machine translation

Experiments with POS based restructuring and alignment based reordering for statistical machine translation

... them. Based on two assumptions, we utilize multiple models in the decoding ...testing sentence does not occur in the modified tables, the decoder would find the phrase in the original ...avoiding ... See full document

6

Using Reordering in Statistical Machine Translation based on Alignment Block Classification

Using Reordering in Statistical Machine Translation based on Alignment Block Classification

... i.e. reordering the words in the source sentence following the order of the words in the target ...original sentence El discurso pol´ıtico fue largo would be modified as El pol´ıtico discurso fue ... See full document

6

Dependency Based Bilingual Language Models for Reordering in Statistical Machine Translation

Dependency Based Bilingual Language Models for Reordering in Statistical Machine Translation

... In statistical machine translation (SMT) reorder- ing (also called distortion) refers to the order in which source words are translated to generate the translation in the target ...English ... See full document

12

Dependency-based Pre-ordering For English-Vietnamese Statistical Machine Translation

Dependency-based Pre-ordering For English-Vietnamese Statistical Machine Translation

... In addition, we focus on analyzing some popular structures of English language when translating to Vietnamese language. This analysis can achieve remarkable improvements in translation performance. Because English ... See full document

14

A Novel Reordering Model Based on Multi layer Phrase for Statistical Machine Translation

A Novel Reordering Model Based on Multi layer Phrase for Statistical Machine Translation

... phrases reordering strategies. According to the movement of phrase translation, the pattern of phrase reordering can be divided into three classes: monotone, BTG (Bracket Transduction Grammar) (Wu, ... See full document

9

Learning Bilingual Linguistic Reordering Model for Statistical Machine Translation

Learning Bilingual Linguistic Reordering Model for Statistical Machine Translation

... In statistical machine translation, reordering model is concerned with predicting correct orders of tar- get language sentence given a source language one and translation ... See full document

9

A Clustered Global Phrase Reordering Model for Statistical Machine Translation

A Clustered Global Phrase Reordering Model for Statistical Machine Translation

... Table 1 shows the percentage of each reorder- ing pattern that appeared in the N-best phrase alignments of the training bilingual sentences for the IWSLT 2005 Japanese-English and Chinese- English translation ... See full document

8

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