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[PDF] Top 20 Divide and Translate: Improving Long Distance Reordering in Statistical Machine Translation

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Divide and Translate: Improving Long Distance Reordering in Statistical Machine Translation

Divide and Translate: Improving Long Distance Reordering in Statistical Machine Translation

... models reordering in noisy channel transla- tion, and has been studied from the early period of SMT ...research. Distance-based reordering is a typical approach used in many previous studies re- ... See full document

10

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 ...which ... See full document

9

Improving Arabic to English Statistical Machine Translation by Reordering Post Verbal Subjects for Alignment

Improving Arabic to English Statistical Machine Translation by Reordering Post Verbal Subjects for Alignment

... phrasal translation of verb and subject constructions as ob- served in the training ...their distance-based reordering models are not well suited to handling complex reorder- ing operations which can ... See full document

6

Fuzzy Syntactic Reordering for Phrase-based Statistical Machine Translation

Fuzzy Syntactic Reordering for Phrase-based Statistical Machine Translation

... phrase-based statistical machine translation (PSMT) to translate between language pairs which require long-range re- ordering has attracted a great deal of interest in re- cent ... See full document

10

Weblio Pre reordering Statistical Machine Translation System

Weblio Pre reordering Statistical Machine Translation System

... 2 Head-restructured CFG parse tree In order to reorder SVO (subject-verb-object) or- der into SOV (subject-object-verb) order, correctly reordering long-distance words those play impor- tant roles in ... See full document

6

A Probabilistic Approach to Syntax based Reordering for Statistical Machine Translation

A Probabilistic Approach to Syntax based Reordering for Statistical Machine Translation

... syntax-based reordering also helps lo- cal reordering. Consider the translation example of test (a) shown in table ...model translate in the same way up to the word “dd” (which is incorrectly ... See full document

8

A Comparative Study on Reordering Constraints in Statistical Machine Translation

A Comparative Study on Reordering Constraints in Statistical Machine Translation

... Some translation examples of the Verbmobil task are shown in ...to translate this verb-group correctly, because the dis- tance between the two parts is too large (more than four ...necessary ... See full document

8

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 ... See full document

8

Clause Based Reordering Constraints to Improve Statistical Machine Translation

Clause Based Reordering Constraints to Improve Statistical Machine Translation

... (NP) translation subsystem to obtain significant improvements in German-English ...to translate clauses (all clauses identified by a syn- tactic parser) as a unit to improve long-distance ... See full document

5

Rule-based Reordering Space in Statistical Machine Translation

Rule-based Reordering Space in Statistical Machine Translation

... In the phrase-based approach, sentences are first segmented into variable length segments or phrases, then reordered. Word reorderings can be divided in two tighly intertwined parts: local reorderings that take place ... See full document

7

Adaptation of Reordering Models for Statistical Machine Translation

Adaptation of Reordering Models for Statistical Machine Translation

... Many SMT systems, including our own, still use this distance-based penalty as a feature. However, starting with (Tillmann and Zhang, 2005; Koehn et al., 2005), a more sophisticated type of reorder- ing model has ... See full document

9

A Ranking based Approach to Word Reordering for Statistical Machine Translation

A Ranking based Approach to Word Reordering for Statistical Machine Translation

... word reordering between language pairs with substantial word order difference, such as Japanese with Subject-Object-Verb (SOV) structure and English with Subject-Verb-Object (SVO) struc- ture, is generally viewed ... See full document

9

Dependency Tree Abstraction for Long Distance Reordering in Statistical Machine Translation

Dependency Tree Abstraction for Long Distance Reordering in Statistical Machine Translation

... JE translation, we transform a Japanese dependency tree into a constituency tree using a simple heuristic because there is no publicly avail- able constituency ...the translation model training, we use the ... See full document

10

Improving Reordering for Statistical Machine Translation with Smoothed Priors and Syntactic Features

Improving Reordering for Statistical Machine Translation with Smoothed Priors and Syntactic Features

... the distance of word movement, some phrase-level reordering models in- dicate how to move phrases, also called ...phrase reordering by a shift reduce ... See full document

9

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

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

... for long sentences. Addition- ally, we only keep a single best reordering (in- stead of a lattice with possible reorderings) which makes the decoding significantly more ... See full document

9

Surveys: A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena

Surveys: A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena

... 2.4.3 Data-Driven Pre-ordering. This kind of model is learned from sets of pairs (f, f 0 ) where f is a source sentence and f 0 is its reference permutation (pre-ordering) inferred from a reference translation e ... See full document

43

Syntactic Phrase Reordering for English to Arabic Statistical Machine Translation

Syntactic Phrase Reordering for English to Arabic Statistical Machine Translation

... Syntax-based reordering as a preprocessing step has been applied to many language pairs other than ...Chinese-to-English translation. Both suggest that reordering as a preprocessing step results in ... See full document

8

Sentence Type Based Reordering Model for Statistical Machine Translation

Sentence Type Based Reordering Model for Statistical Machine Translation

... In this paper, we are interested in investigat- ing the value of Chinese sentence types in reor- dering for Chinese-to-English spoken language translation. Due to the syntactic difference be- tween Chinese and ... See full document

8

Anchor Graph: Global Reordering Contexts for Statistical Machine Translation

Anchor Graph: Global Reordering Contexts for Statistical Machine Translation

... multiple translation units, our AG models are able to capture high or- der contextual information that is previously ...syntax-based translation system, in a large scale Chinese-to-English ... See full document

12

Towards a Computational History of the ACL: 1980 2008

Towards a Computational History of the ACL: 1980 2008

... Document Retrieval: document/s, retrieval, query/ies, term, relevant/ance, collection, indexing, search SRL/Framenet: argument/s, role/s, predicate, frame, FrameNet, predicates, labeling, PropBank Wordnet/Multilingual ... See full document

9

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