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[PDF] Top 20 Example based Machine Translation Based on Syntactic Transfer with Statistical Models

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Example based Machine Translation Based on Syntactic Transfer with Statistical Models

Example based Machine Translation Based on Syntactic Transfer with Statistical Models

... partial example of bottom- up generation when the target tree in Figure 4 is ...and translation) are obtained from child ...the translation probabil- ity is calculated, the source word sub-sequence ... See full document

7

Chinese Syntactic Reordering for Statistical Machine Translation

Chinese Syntactic Reordering for Statistical Machine Translation

... an example of a verb phrase with a temporal NP modifier, which literally trans- lates into “same day morning issue ...an example verb phrase with a QP modifier, literally translating into “many time ... See full document

9

Fuzzy Syntactic Reordering for Phrase-based Statistical Machine Translation

Fuzzy Syntactic Reordering for Phrase-based Statistical Machine Translation

... improve translation output– has been explored by many ...for translation from French to English, where context-free constituency reordering rules are acquired automatically using source and target parses ... See full document

10

Dependency Based Bilingual Language Models for Reordering in Statistical Machine Translation

Dependency Based Bilingual Language Models for Reordering in Statistical Machine Translation

... include syntactic information into phrase-based ...bilingual models (Niehues et ...of translation experiments we performed a thor- ough comparison between various syntactically- enriched BiLMs ... See full document

12

CCG Syntactic Reordering Models for Phrase based Machine Translation

CCG Syntactic Reordering Models for Phrase based Machine Translation

... a translation “phrase” is simply any contiguous word string that is consistent with a word alignment (a relation between source and target words), usually produced by a language-independent alignment pro- cedure ... See full document

12

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 ...For example, training meth- ods for word alignment such as the IBM or HMM models (Och and Ney, 2003) are affected by ... See full document

9

Continuous Space Translation Models for Phrase Based Statistical Machine Translation

Continuous Space Translation Models for Phrase Based Statistical Machine Translation

... likely translation provided by the ...full translation process must completely rely on the LM to select the best individual translations of the three words so that a correct French sentence will be ...our ... See full document

10

Example Based Paraphrasing for Improved Phrase Based Statistical Machine Translation

Example Based Paraphrasing for Improved Phrase Based Statistical Machine Translation

... Burch et al., 2005) measured the impact on transla- tion quality of the sample size in random sampling of source phrase examples in the training corpus to estimate a phrase’s translation probabilities. As Ta- ble ... See full document

11

A Dependency Edge based Transfer Model for Statistical Machine Translation

A Dependency Edge based Transfer Model for Statistical Machine Translation

... novel statistical analysis-transfer-generation model for machine transla- tion, to integrate the advantages of the transfer-generation scheme and the statistical ...of transfer ... See full document

11

N gram based Tense Models for Statistical Machine Translation

N gram based Tense Models for Statistical Machine Translation

... After that, we propose to integrate such tense models into SMT systems in a dynamic way. It is well known there are many errors in the current MT output (David et al., 2006). Unlike previously making trouble with ... See full document

10

Extending Statistical Machine Translation with Discriminative and Trigger Based Lexicon Models

Extending Statistical Machine Translation with Discriminative and Trigger Based Lexicon Models

... The models in this paper are also related to word sense disambiguation ...For example, (Chan et ...in translation quality in a hierar- chical phrase-based translation ...phrasal ... See full document

9

Dependency Based Statistical Machine Translation

Dependency Based Statistical Machine Translation

... is based on linear position in the ...formulated models which incor- porate the intuition that syntactically close con- stituents tend to stay close across ... See full document

6

Stream based Translation Models for Statistical Machine Translation

Stream based Translation Models for Statistical Machine Translation

... three example epochs are shown in Table ...all models. We used Joshua (Li et al., 2009), a syntax-based decoder with a suffix array implementation, and rule induction via the standard Hiero grammar ... 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

... boost translation quality further on any of the two test ...soft syntactic label set of composite SAMT-style la- bels comprises 8504 different labels that appear on the source-side of the parallel training ... See full document

9

Phrase Reordering Model Integrating Syntactic Knowledge for SMT

Phrase Reordering Model Integrating Syntactic Knowledge for SMT

... introducing syntactic information. Syntactic knowledge such as boun- dary of sub-trees, part-of-speech (POS) and depen- dency relation is incorporated into the SMT system to strengthen the ability to handle ... See full document

8

Statistical machine translation based on translation rules

Statistical machine translation based on translation rules

... Nowadays statistical machine translation shows its benefits and has received much ...phrase-based statistical machine translation was carefully ...better. ... See full document

8

Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring

Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring

... Machine translation (MT) has achieved huge advances in the past few years (Bahdanau et al., 2015; Gehring et al., 2017; Vaswani et al., 2017, 2018). However, the need for a large amount of manual parallel ... See full document

8

Filtering Syntactic Constraints for Statistical Machine Translation

Filtering Syntactic Constraints for Statistical Machine Translation

... use syntactic constraints, all of the nodes in the parse trees are ...For example, if we constrain the translation of “f1 f2 f3 f4” with node N2 illustrated in Figure 1, then word “e1” will never be ... See full document

5

An Integrated Architecture for Example Based Machine Translation

An Integrated Architecture for Example Based Machine Translation

... feature-structure-based rewrite grammars. GPL is a formalism that allows the direct expression of linguistic algorithms for parsing, transfer, and generation. Some ideas in GPL can be traced back to ... See full document

5

Experiments and Prospects of Example Based Machine Translation

Experiments and Prospects of Example Based Machine Translation

... A prototype system has been implemented to deal with a difficult translation problem for conventional Rule-Based Machine Translation RBMT, i.e., translating Japanese noun phrases of the [r] ... See full document

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