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[PDF] Top 20 Relabeling Syntax Trees to Improve Syntax Based Machine Translation Quality

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Relabeling Syntax Trees to Improve Syntax Based Machine Translation Quality

Relabeling Syntax Trees to Improve Syntax Based Machine Translation Quality

... statistical machine translation (MT) has sought to overcome the limitations of phrase- based models (Marcu and Wong, 2002; Koehn et ...information. Syntax-based MT of- fers the ... See full document

8

Syntax based Rewriting for Simultaneous Machine Translation

Syntax based Rewriting for Simultaneous Machine Translation

... to improve the speed- accuracy ...reference translation into a phrase-based machine translation system enables better translations faster than a baseline system that only uses gold ... See full document

10

Quality Estimation of English French Machine Translation: A Detailed Study of the Role of Syntax

Quality Estimation of English French Machine Translation: A Detailed Study of the Role of Syntax

... the quality of English-French ...target syntax and find that the use of parse trees of machine translated sentences does not affect the performance of quality estimation nor does the ... See full document

12

Learning to Transform and Select Elementary Trees for Improved Syntax based Machine Translations

Learning to Transform and Select Elementary Trees for Improved Syntax based Machine Translations

... Most syntax-based machine translation models with syn- chronous context free grammar (SCFG) have been re- lying on the off-the-shelf monolingual parse structures to learn the ... See full document

10

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 ...parse trees to automatically learn rules to re- order French sentences to match English ...parse trees ... See full document

9

Improvements to Syntax based Machine Translation using Ensemble Dependency Parsers

Improvements to Syntax based Machine Translation using Ensemble Dependency Parsers

... on syntax-based machine trans- lation both in manual and automatic ...dependency trees based on the WMT 2012 machine translation task data, which shows a larger increase ... See full document

6

Rule based Syntactic Preprocessing for Syntax based Machine Translation

Rule based Syntactic Preprocessing for Syntax based Machine Translation

... rule- based syntactic preprocessing is Head Finalization (Isozaki et ...Japanese translation that has significantly improved translation quality of English-Japanese PBMT using simple rules ... See full document

9

A Probabilistic Approach to Syntax based Reordering for Statistical Machine Translation

A Probabilistic Approach to Syntax based Reordering for Statistical Machine Translation

... the syntax-based and distance-based models complement each other in improving word ...parse trees returned by a full parser like the Stanford parser contain too many nodes which seem not be ... See full document

8

CMU Syntax Based Machine Translation at WMT 2011

CMU Syntax Based Machine Translation at WMT 2011

... WMT 2011’s provided French–English training data consisted of 36.8 million sentence pairs from the Eu- roparl, news commentary, UN documents, and Giga- FrEn corpora (Table 1). The first three of these are, for the most ... See full document

7

Machine Translation Using Probabilistic Synchronous Dependency Insertion Grammars

Machine Translation Using Probabilistic Synchronous Dependency Insertion Grammars

... statistical machine transla- tion (MT) aims at applying statistical models to structured ...a syntax-based statistical ma- chine translation system based on a prob- abilistic ... See full document

8

Fast Translation Rule Matching for Syntax based Statistical Machine Translation

Fast Translation Rule Matching for Syntax based Statistical Machine Translation

... for translation rule matching in a forest-based translation ...9 trees on average) our algorithm is 150 times faster than the two traditional ... See full document

9

Binarizing Syntax Trees to Improve Syntax Based Machine Translation Accuracy

Binarizing Syntax Trees to Improve Syntax Based Machine Translation Accuracy

... The EM binarization factorizes more admissible nodes because it mixes both left and right binariza- tions in the same tree. We computed the binarization biases learned by the EM algorithm for each nonter- minal from the ... See full document

9

Syntax based Multi system Machine Translation

Syntax based Multi system Machine Translation

... hybrid 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 ... See full document

7

Syntax and Semantics in Quality Estimation of Machine Translation

Syntax and Semantics in Quality Estimation of Machine Translation

... Unlike syntactic parsing, semantic role la- belling does not produce a tree to be directly used in the tree kernel framework. There can be var- ious ways to accomplish this goal. We first try a method inspired by the PAS ... See full document

11

Large aligned treebanks for syntax-based machine translation

Large aligned treebanks for syntax-based machine translation

... Table 6 shows the effect of adding data to our model, grad- ually adding the subcorpora to the training data. This shows consistently better results for the conditions trained on data where alignments were determined ... See full document

7

Automatic Category Label Coarsening for Syntax Based Machine Translation

Automatic Category Label Coarsening for Syntax Based Machine Translation

... tion 3 means that our label collapsing algorithm will naturally produce different label clusters for differ- ent input grammars — any change in the Viterbi word alignments, underlying parallel corpus, initial label set, ... See full document

9

Incorporating Source Syntax into Transformer Based Neural Machine Translation

Incorporating Source Syntax into Transformer Based Neural Machine Translation

... In this paper, we proposed two methods for in- corporating source-side syntactic annotations into a Transformer-based neural machine translation system. The first, multi-task, used a shared en- coder ... See full document

10

A Proper Treatmemt of Syntax and Semantics in Machine Translation

A Proper Treatmemt of Syntax and Semantics in Machine Translation

... The prototype model system for EnglishJapanese translation Figure I is constructed as a syntax directed processor using a phrase structure type internal representation called HPM Heurist[r] ... See full document

8

Syntax aware Phrase based Statistical Machine Translation: System Description

Syntax aware Phrase based Statistical Machine Translation: System Description

... The system presented in this paper takes a slightly different route and is closer to the approach taken by Collins et al. (2005): we parse only monolin- gually on the source side, re-order, and then trans- late. However, ... See full document

6

Isabelle/UTP: Mechanised Theory Engineering for Unifying Theories of Programming

Isabelle/UTP: Mechanised Theory Engineering for Unifying Theories of Programming

... and output variable. The functions bridge between the model and encoding of the variable and its interpretation as a lens in order to integrate it into the general lens-based framework. Overriding these functions ... See full document

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