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A Syntax based Statistical Translation Model

A Syntax based Statistical Translation Model

... a syntax-based statistical translation ...Our model trans- forms a source-language parse tree into a target-language string by apply- ing stochastic operations at each ...marking. ... See full document

8

Syntax based Multi system Machine Translation

Syntax based Multi system Machine Translation

... machine translation system that explores a parser to acquire syntactic chunks of a source sentence, translates the chunks with multiple online machine translation (MT) system application program interfaces ... See full document

7

N Gram Based Statistical Machine Translation versus Syntax Augmented Machine Translation: Comparison and System Combination

N Gram Based Statistical Machine Translation versus Syntax Augmented Machine Translation: Comparison and System Combination

... incorrect translation, generated by the N - gram system, is an erroneous grammatical form selection, ...correct translation but cannot choose the correct ... See full document

9

A Direct Syntax Driven Reordering Model for Phrase Based Machine Translation

A Direct Syntax Driven Reordering Model for Phrase Based Machine Translation

... Instead of directly modeling the distance of word movement, phrasal level reordering mod- els model how to move phrases, also called orien- tations. Orientations typically apply to adjacent phrases. Two adjacent ... See full document

9

Preference Grammars and Soft Syntactic Constraints for GHKM Syntax based Statistical Machine Translation

Preference Grammars and Soft Syntactic Constraints for GHKM Syntax based Statistical Machine Translation

... Our soft source syntactic constraints features borrow ideas from Marton and Resnik (2008) who proposed a comparable approach for hierarchical machine translation. The major difference is that the features of ... See full document

9

Discontinuous Statistical Machine Translation with Target Side Dependency Syntax

Discontinuous Statistical Machine Translation with Target Side Dependency Syntax

... the model to synchronously develop discontinuous parts in the output ...this translation model al- ready proved to be useful when translating from English into German, Chinese, and Arabic as ... See full document

9

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 ...in syntax tree are proposed to avoid the reor- dering errors, but also the modification of syntax tree is made to ... See full document

8

Deep Syntax Language Models and Statistical Machine Translation

Deep Syntax Language Models and Statistical Machine Translation

... language model that models fluency of words not using their local context in the string, as in traditional language models, but instead using the deeper context of a ...deep syntax language mod- els ... See full document

9

Proceedings of the 4th Workshop on Syntax and Structure in Statistical Translation

Proceedings of the 4th Workshop on Syntax and Structure in Statistical Translation

... Intersecting Hierarchical and Phrase-Based Models of Translation: Formal Aspects and Algorithms Marc Dymetman and Nicola Cancedda . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ... See full document

8

Relabeling Syntax Trees to Improve Syntax Based Machine Translation Quality

Relabeling Syntax Trees to Improve Syntax Based Machine Translation Quality

... This paper focuses on step 1, in which the orig- inal English parse trees are transformed by one or more relabeling strategies. Step 2 involves extract- ing minimal xRS rules (Galley et al., 2004) from the set of ... See full document

8

Syntax Driven Machine Translation as a Model of ESL Revision

Syntax Driven Machine Translation as a Model of ESL Revision

... QG model, the initial parameters are determined as follows: For the monolin- gual target parsing model parameters, we first parse the target side of the corpus ...estimates based on these parse trees ... See full document

9

Proceedings of the Sixth Workshop on Syntax, Semantics and Structure in Statistical Translation

Proceedings of the Sixth Workshop on Syntax, Semantics and Structure in Statistical Translation

... There is increased interest in modeling semantic and deep syntactic structure intranslation. Quernheim and Knight lay a foundation for modeling semantics in SMT by developing weighted acceptors and transducers for ... See full document

10

Translation Model Size Reduction for Hierarchical Phrase based Statistical Machine Translation

Translation Model Size Reduction for Hierarchical Phrase based Statistical Machine Translation

... SMT model similar to Chiang (2005). The trigram target language model is trained from the Xinhua portion of English Gi- gaword corpus (Graff and Cieri, ...for translation performance evaluation is ... See full document

5

Syntax to Morphology Mapping in Factored Phrase Based Statistical Machine Translation from English to Turkish

Syntax to Morphology Mapping in Factored Phrase Based Statistical Machine Translation from English to Turkish

... the translation after the decoding step, the function words/tags in the complex tag would then have to be unattached and their proper positions in the sentence would have to be ...language model to rerank ... See full document

11

Cross Corpora Evaluation and Analysis of Grammatical Error Correction Models — Is Single Corpus Evaluation Enough?

Cross Corpora Evaluation and Analysis of Grammatical Error Correction Models — Is Single Corpus Evaluation Enough?

... GEC model generally aims to robustly correct grammatical errors in any writ- ten text partly because the task difficulty varies depending on proficiency levels and essay top- ...a model outperforms a ... See full document

6

Binarizing Syntax Trees to Improve Syntax Based Machine Translation Accuracy

Binarizing Syntax Trees to Improve Syntax Based Machine Translation Accuracy

... introduced by binarization will not be counted when computing the rule size limit unless they appear as the rule roots. The motivation is that binarization deepens the parses and increases the number of tree nodes. In ... See full document

9

Constituent Reordering and Syntax Models for English to Japanese Statistical Machine Translation

Constituent Reordering and Syntax Models for English to Japanese Statistical Machine Translation

... the syntax-based model of (Ya- mada and Knight, 2001) that transforms a source language parse tree into a target language string for Japanese-English translation, linguistically motivated ... See full document

9

Edinburgh’s Syntax Based Machine Translation Systems

Edinburgh’s Syntax Based Machine Translation Systems

... In an experiment we investigated how the num- ber of verbs dropped by the translation rules can be reduced. In order to reduce the number of verb dropping rules we looked at unaligned verbs and realigned them ... See full document

7

A Decoder for Syntax based Statistical MT

A Decoder for Syntax based Statistical MT

... a syntax-based statistical machine ...The translation model was extended to incorporate phrasal ...nel model is an English parse tree, the decoding al- gorithm is based on ... See full document

8

Syntax based Statistical Machine Translation using Tree Automata and Tree Transducers

Syntax based Statistical Machine Translation using Tree Automata and Tree Transducers

... Tree Automata are similar to Finite-state Automata (FSA), except they recognize trees instead of strings (or sequences of words). Formally, FSA can only represent Regular Languages and thus, cannot ef- ficiently ... See full document

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