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[PDF] Top 20 Syntax based Rewriting for Simultaneous Machine Translation

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Syntax based Rewriting for Simultaneous Machine Translation

Syntax based Rewriting for Simultaneous Machine Translation

... batch translation waits until the entire sentence is completed before starting to ...optimizes translation quality and often introduces undesirable lag between the speaker and the audi- ...ence. ... See full document

10

Query Rewriting Using Monolingual Statistical Machine Translation

Query Rewriting Using Monolingual Statistical Machine Translation

... SMT- based expansion. The third example is a loss for SMT-based expansion because of a replacement of the specific term debian by the more general term ...correlation- based expansions how many tv 30 ... See full document

14

Syntax based Simultaneous Translation through Prediction of Unseen Syntactic Constituents

Syntax based Simultaneous Translation through Prediction of Unseen Syntactic Constituents

... Speech translation is an application of machine translation (MT) that converts utterances from the speaker’s language into the listener’s ...speech translation is the fact that it must be ... See full document

10

A Probabilistic Approach to Syntax based Reordering for Statistical Machine Translation

A Probabilistic Approach to Syntax based Reordering for Statistical Machine Translation

... practice syntax-based reordering also helps lo- cal ...the translation example of test (a) shown in table ...of syntax-based global reordering, a phrase-based decoder performs ... See full document

8

Incorporating Source Syntax into Transformer Based Neural Machine Translation

Incorporating Source Syntax into Transformer Based Neural Machine Translation

... There have been several recent proposals to incor- porate source-side syntax into RNN-based NMT by modifying the encoder architecture; we re- view some such models here. Eriguchi et al. (2016) augmented the ... See full document

10

Automatic Category Label Coarsening for Syntax Based Machine Translation

Automatic Category Label Coarsening for Syntax Based Machine Translation

... language based on the difference in alignment probabilities to labels in the other lan- ...syntactic machine translation system in place of the original ... See full document

9

Machine Translation Using Probabilistic Synchronous Dependency Insertion Grammars

Machine Translation Using Probabilistic Synchronous Dependency Insertion Grammars

... As discussed before (see Figure 1 and 2), the archi- tecture of our syntax based statistical MT system is illustrated in Figure 5. Note that this is a non- deterministic process. The input sentence is first ... See full document

8

Rule based Syntactic Preprocessing for Syntax based Machine Translation

Rule based Syntactic Preprocessing for Syntax based Machine Translation

... the translation model training process, particularly by increasing alignment ...T2S translation (Neubig and Duh, 2014), it is reasonable to hypothesize that reordering may also have a positive effect on ... 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

... Phrase-based systems were trained for each lan- guage pair using 11M sentence pairs spanning a variety of publicly available (e.g. Europarl, UN speeches) and internal corpora (IT technical and news domains). The ... See full document

9

Improvements to Syntax based Machine Translation using Ensemble Dependency Parsers

Improvements to Syntax based Machine Translation using Ensemble Dependency Parsers

... For the annotation experiments we use data pro- vided by the 2012 Workshop for Machine Trans- lation (WMT2012). The data which consists of 3,003 sentences was automatically tokenized, tagged, and parsed. This data ... See full document

6

A Direct Syntax Driven Reordering Model for Phrase Based Machine Translation

A Direct Syntax Driven Reordering Model for Phrase Based Machine Translation

... The word reordering problem has been one of the major problems in statistical machine translation (SMT). Since exploring all possible reorderings of a source sentence is an NP-complete problem (Knight ... See full document

9

Syntax aware Phrase based Statistical Machine Translation: System Description

Syntax aware Phrase based Statistical Machine Translation: System Description

... For each example retrieved from the training cor- pus, we determine, from the word alignment infor- mation in the training corpus, the order in which the dependents and the head word are translated. To re- duce noise ... See full document

6

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

... system based on generalized hierarchi- cally structured phrases was introduced and dis- cussed in Chiang ...of translation quality if complete or par- tial syntactic categories (derived from the target side ... See full document

9

NiuTrans: An Open Source Toolkit for Phrase based and Syntax based Machine Translation

NiuTrans: An Open Source Toolkit for Phrase based and Syntax based Machine Translation

... We implemented the toolkit in C++ language, with special consideration of extensibility and efficiency. C++ enables us to develop efficient translation engines which have high running speed for both training and ... See full document

6

Binarizing Syntax Trees to Improve Syntax Based Machine Translation Accuracy

Binarizing Syntax Trees to Improve Syntax Based Machine Translation Accuracy

... We show that phrase structures in Penn Tree- bank style parses are not optimal for syntax- based machine translation. We exploit a se- ries of binarization methods to restructure the Penn ... See full document

9

Syntax based Multi system Machine Translation

Syntax based Multi system Machine Translation

... Petrov, S., Barrett, L., Thibaux, R., Klein, D. (2006). Learning accurate, compact, and interpretable tree annotation. Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual ... See full document

7

Syntax Driven Machine Translation as a Model of ESL Revision

Syntax Driven Machine Translation as a Model of ESL Revision

... For the 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 (i.e., the revised sentences) with the Stanford ... See full document

9

Confidence based Rewriting of Machine Translation Output

Confidence based Rewriting of Machine Translation Output

... a rewriting system could (if asked to) at- tempt to improve locally a translation, or whether a human post-editor should already tackle work- ing on improving ...local rewriting strategy or of the ... See full document

12

Relabeling Syntax Trees to Improve Syntax Based Machine Translation Quality

Relabeling Syntax Trees to Improve Syntax Based Machine Translation Quality

... target translation: the gunman was killed by police ...output translation has two salient errors: determiner/noun number disagreement (*this Turkish positions) and auxiliary/verb tense disagreement (*has ... See full document

8

Large aligned treebanks for syntax-based machine translation

Large aligned treebanks for syntax-based machine translation

... There is much that can be done to increase alignment ac- curacy. Of course, more training data and further tuning of parameters are likely to lead to better scores. It is also possible to specify additional features to ... See full document

7

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