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[PDF] Top 20 A Tagging style Reordering Model for Phrase based SMT

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A Tagging style Reordering Model for Phrase based SMT

A Tagging style Reordering Model for Phrase based SMT

... Up to this point, we have converted the reordering problem into a tagging problem with nine tags. The transformation in Figure 1 is conducted for all the sentence pairs in the bilingual training corpus. ... See full document

10

Triangulation of Reordering Tables: An Advancement Over Phrase Table Triangulation in Pivot Based SMT

Triangulation of Reordering Tables: An Advancement Over Phrase Table Triangulation in Pivot Based SMT

... in Reordering Let us closely look at an actual translation exam- ple from the test corpus to clearly understand, how calculating reordering probability values for newly added phrase pairs helps in ... See full document

9

Advancements in Reordering Models for Statistical Machine Translation

Advancements in Reordering Models for Statistical Machine Translation

... the reordering problem. Within the phrase-based SMT framework there are mainly three stages where improved reordering could be integrated: In the preprocessing: the source sentence is ... See full document

11

Maximum Entropy Based Phrase Reordering for Hierarchical Phrase Based Translation

Maximum Entropy Based Phrase Reordering for Hierarchical Phrase Based Translation

... hierarchical phrase-based (HPB) model (Chi- ang, 2005; Chiang, 2007) has been widely adopted in statistical machine translation ...a phrase pair consisting of consecutive words; hierarchical ... See full document

9

Learning Bilingual Linguistic Reordering Model for Statistical Machine Translation

Learning Bilingual Linguistic Reordering Model for Statistical Machine Translation

... translation, reordering model is concerned with predicting correct orders of tar- get language sentence given a source language one and translation ...in phrase-based SMT systems (Koehn ... See full document

9

Semantic Cohesion Model for Phrase Based SMT

Semantic Cohesion Model for Phrase Based SMT

... c-commanders of a predicate are not overlapped with each other and compose the whole sentence, we can take this step as a sequentialization procedure. Sun et al. (2008) present a theoretical analysis about argument ... See full document

12

Incrementally Updating the SMT Reordering Model

Incrementally Updating the SMT Reordering Model

... the reordering table help achieving better translation ...three phrase-based SMT sub-models (reordering, translation and language models, de- noted R, T and L, ...ing model is ... See full document

10

Alignment-based reordering for SMT

Alignment-based reordering for SMT

... for phrase-based SMT by reordering the source text according to the target word order suggested by an initial word ...part-of-speech tagging or ...the reordering method increased ... See full document

5

Phrase Reordering Model Integrating Syntactic Knowledge for SMT

Phrase Reordering Model Integrating Syntactic Knowledge for SMT

... Reordering model is important for the sta- tistical machine translation ...Current phrase-based SMT technologies are good at capturing local reordering but not global ...global ... See full document

8

Dependency based Reordering Model for Constituent Pairs in Hierarchical SMT

Dependency based Reordering Model for Constituent Pairs in Hierarchical SMT

... tance) reordering inside the phrases but they are inherently weak at non-local (medium and long distance) reordering (Birch and Osborne, ...address reordering in PB-SMT can generally be ... See full document

8

Anaphora Models and Reordering for Phrase Based SMT

Anaphora Models and Reordering for Phrase Based SMT

... there are word order differences. The result is quite mixed with respect to the placement of verbs. In the first example, both systems put the verbs to- gether but in different positions, instead of splitting them like ... See full document

8

Syntactic Reordering Integrated with Phrase Based SMT

Syntactic Reordering Integrated with Phrase Based SMT

... language model of order n, for each hy- pothezised target string ending in the same n-1- gram, we only have to extend the highest scoring ...a phrase extending this hy- pothesis, is the history (n-1-gram) ... See full document

8

Head modifier Relation based Non lexical Reordering Model for Phrase Based Translation

Head modifier Relation based Non lexical Reordering Model for Phrase Based Translation

... Syntax has been successfully applied to SMT to improve translation performance. Research in applying syntax information to SMT has been carried out in two aspects. On the one hand, the syntax knowledge is ... See full document

9

Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation

Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation

... the phrase extraction algorithm by Och ...standard phrase-based SMT systems and also in our sys- ...increase reordering examples greatly, especially those with the straight ...of ... See full document

8

Shallow Semantically Informed PBSMT and HPBSMT

Shallow Semantically Informed PBSMT and HPBSMT

... IBM Model 4 is used as the baseline for word alignment: Model 4 is incrementally trained by performing 5 iterations of Model 1, 5 iterations of HMM, 3 iterations of Model 3, and 3 iter- ations ... See full document

8

Hierarchical Phrase based Machine Translation with Word based Reordering Model

Hierarchical Phrase based Machine Translation with Word based Reordering Model

... To add γ ′ to rules, we permuted γ into γ ′ after rule extraction based on Grow-diag-final (Koehn et al., 2005) alignment by GIZA++ (Och and Ney, 2003). To do this permutation on rules, we ap- plied two methods. ... See full document

8

Jane: Open Source Hierarchical Translation, Extended with Reordering and Lexicon Models

Jane: Open Source Hierarchical Translation, Extended with Reordering and Lexicon Models

... Jane has also preliminary support for forced align- ments between a given source and target sentence. Given a sentence in the source language and its translation in the target language, we find the best way the source ... See full document

9

Neural Reordering Model Considering Phrase Translation and Word Alignment for Phrase based Translation

Neural Reordering Model Considering Phrase Translation and Word Alignment for Phrase based Translation

... noisy phrase pairs in the phrase ...a phrase vector by simply embedding word vectors of the source and target language phrases and did not consider the adequacy of the translation between the ... See full document

10

Efficient Solutions for Word Reordering in German English Phrase Based Statistical Machine Translation

Efficient Solutions for Word Reordering in German English Phrase Based Statistical Machine Translation

... for reordering pruning (sixth row) we are able to recover the performance of the medium-DL baseline performance and even to slightly improve ...verb reordering on tests(09-11): from ...range ... See full document

12

A Simple and Effective Hierarchical Phrase Reordering Model

A Simple and Effective Hierarchical Phrase Reordering Model

... orientation model for phrase-based systems that aims to bet- ter capture long distance dependencies, and that presents a solution to the problem illustrated in ...our reordering model ... See full document

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