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[PDF] Top 20 Alignment-based reordering for SMT

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Alignment-based reordering for SMT

Alignment-based reordering for SMT

... the reordering algorithm may perform better if it bases the reordering on an align- ment with higher precision, ...word alignment and translation ...before reordering and Final the ... See full document

5

Word Alignment-Based Reordering of Source Chunks in PB-SMT

Word Alignment-Based Reordering of Source Chunks in PB-SMT

... tree-based reordering and word alignment-based source re- ...word alignment-based reordering at chunk- and word-level, we carried out experi- ments on ...word-based ... See full document

7

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

... in SMT: Li et ...as reordering the source sentences in a Chi- nese-Korean phrase-based SMT using syntactic ...English-Chinese SMT system, Wu et ...Spanish-English SMT system was ... See full document

6

Towards a Computational History of the ACL: 1980 2008

Towards a Computational History of the ACL: 1980 2008

... Topics Statistical Machine Translation Phrase-Based: bleu, statistical, source, target, phrases, smt, reordering Dependency Parsing: dependency/ies, head, czech, depen, dependent, treeba[r] ... See full document

9

Source side Syntactic Reordering Patterns with Functional Words for Improved Phrase based SMT

Source side Syntactic Reordering Patterns with Functional Words for Improved Phrase based SMT

... syntactic reordering patterns from non-monotonic phrase alignments and source-side parse ...syntactic reordering pat- terns: 1) the lattice scoring approach proposed in (Jiang et ...syntactic ... See full document

9

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

... Several strategies have been proposed for the use of a pivot. Utiyama and Isahara (2007) pro- posed two strategies, a phrase translation strat- egy that is similar to the triangulation method and a sentence translation ... See full document

9

Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation

Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation

... phrase-based SMT is that phrase cohere across two languages (Fox, 2002), which means phrases in one language tend to be moved together during ...the reordering exam- ples extracted by the algorithm ... See full document

8

Phrase Reordering Model Integrating Syntactic Knowledge for SMT

Phrase Reordering Model Integrating Syntactic Knowledge for SMT

... the reordering model in SMT systems, ranging from the fundamental distance-based dis- tortion model (Och and Ney, 2004; Koehn et ...flat reordering model (Wu, 1996; Zens et ...lexicalized ... See full document

8

Bilingual Markov Reordering Labels for Hierarchical SMT

Bilingual Markov Reordering Labels for Hierarchical SMT

... word alignment factorizes into Normalized Decomposition Trees (NDTs) (Zhang et ...word alignment recursively decomposes into phrase ...word alignment (Sima’an and Maillette de Buy Wenniger, 2013); ... See full document

11

Bootstrapping Method for Chunk Alignment in Phrase Based SMT

Bootstrapping Method for Chunk Alignment in Phrase Based SMT

... to SMT) does not generally treat MWEs as special ...with SMT systems is the wrong translation of some ...automatic alignment of chunks can bring any improvement in the overall perform- ance of the MT ... See full document

8

Using Reordering in Statistical Machine Translation based on Alignment Block Classification

Using Reordering in Statistical Machine Translation based on Alignment Block Classification

... Reordering experiments in the EuroParl Es2En task Before applying the algorithm, we added morphological information: lemmas and tags. We added the two infor- mations sequentially: firstly, we used the lemma ... See full document

6

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

... However, there are a large number of noisy phrase pairs in the phrase table. One of the deficiencies of their NRMs is that they generated a phrase vector by simply embedding word vectors of the source and target language ... See full document

10

Effects of Parsing Errors on Pre-Reordering Performance for Chinese-to-Japanese SMT

Effects of Parsing Errors on Pre-Reordering Performance for Chinese-to-Japanese SMT

... motivated reordering meth- ods have been developed to improve word alignment especially for Statistical Ma- chine Translation (SMT) on long dis- tance language ...and reordering. For ... See full document

10

Learning Improved Reordering Models for Urdu, Farsi and Italian using SMT

Learning Improved Reordering Models for Urdu, Farsi and Italian using SMT

... Moses requires two types of data for training a phrase based model. Sentence aligned bilingual corpus to train the TM and the target side monolingual corpus for the LM. The TM presents itself in the form of a ... See full document

10

Modeling with Structures in Statistical Machine translation

Modeling with Structures in Statistical Machine translation

... It has the following advantages over word-based alignment: • Since the translation model can directly depict phrase reordering in translation, it is more accurate for translation between[r] ... See full document

7

Improving Phrase Based Translation via Word Alignments from Stochastic Inversion Transduction Grammars

Improving Phrase Based Translation via Word Alignments from Stochastic Inversion Transduction Grammars

... word alignment is the basis for learning phrase transla- tions in phrase-based SMT ...word alignment is to estimate a function linking words in one of the languages to words in the ...word ... See full document

9

Reordering Modeling using Weighted Alignment Matrices

Reordering Modeling using Weighted Alignment Matrices

... weighted alignment matrices based on Hid- den Markov Models (HMMs), which are produced by the the PostCAT toolkit 1 , based on the poste- rior regularization framework ...weighted alignment ... See full document

5

A Clustered Global Phrase Reordering Model for Statistical Machine Translation

A Clustered Global Phrase Reordering Model for Statistical Machine Translation

... global reordering model that explicitly models long distance re- ordering 1 ...of reordering patterns, namely MA (monotone adjacent), MG (monotone gap), RA (reverse adjacent), and RG (reverse ...are ... See full document

8

Learning Bilingual Linguistic Reordering Model for Statistical Machine Translation

Learning Bilingual Linguistic Reordering Model for Statistical Machine Translation

... in SMT systems, because of its good trade-off be- tween efficiency and expressiveness (Wu, ...ble alignment in a translation pair drops drastically especially for long sentences, yet it still covers most of ... See full document

9

A Tagging style Reordering Model for Phrase based SMT

A Tagging style Reordering Model for Phrase based SMT

... features in the log-linear framework has the advantage that the new feature has access to the whole search space. Another advantage of methods in this category is that we let the decoder decide the weights of features, ... See full document

10

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