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[PDF] Top 20 Translation Quality Indicators for Pivot based Statistical MT

Has 10000 "Translation Quality Indicators for Pivot based Statistical MT" found on our website. Below are the top 20 most common "Translation Quality Indicators for Pivot based Statistical MT".

Translation Quality Indicators for Pivot based Statistical MT

Translation Quality Indicators for Pivot based Statistical MT

... overall translation performance is supposed to ...of pivot language selection, especially if languages of large diversity are to be taken into ...3.3 Translation Direction ... See full document

8

The Effect of Translation Quality in MT Based Cross Language Information Retrieval

The Effect of Translation Quality in MT Based Cross Language Information Retrieval

... of translation resources for bilingual retrieval based on query translation: a bilingual machine-readable diction- ary, a statistical dictionary based on a parallel web corpus and the ... See full document

8

Dialect Translation: Integrating Bayesian Co segmentation Models with Pivot based SMT

Dialect Translation: Integrating Bayesian Co segmentation Models with Pivot based SMT

... multilingual statistical ma- chine translation (SMT) focuses on the usage of pivot languages in order to overcome re- source limitations for certain language ...approaches based on Bayesian ... See full document

9

Large-scale Dictionary Construction via Pivot-based Statistical Machine Translation with Significance Pruning and Neural Network Features

Large-scale Dictionary Construction via Pivot-based Statistical Machine Translation with Significance Pruning and Neural Network Features

... network based models is that they are very slow to train in case of large ...character based models but such models are not suited for ex- tremely long ...character based MT ...character ... See full document

9

Improving Arabic Chinese Statistical Machine Translation using English as Pivot Language

Improving Arabic Chinese Statistical Machine Translation using English as Pivot Language

... for MT or related tasks such as lexical induction or word ...induced translation lexi- cons for languages without common parallel corpora using a bridge language that is related to the target ... See full document

9

Tree as a Pivot: Syntactic Matching Methods in Pivot Translation

Tree as a Pivot: Syntactic Matching Methods in Pivot Translation

... machine translation frameworks ...triangulation based on syn- tactic matching ...in translation rules, while the second places a softer restriction allowing partial matches ...on pivot ... See full document

9

Language Independent Connectivity Strength Features for Phrase Pivot Statistical Machine Translation

Language Independent Connectivity Strength Features for Phrase Pivot Statistical Machine Translation

... to statistical ma- chine translation (SMT) is the lack of par- allel data for many language ...to pivot through a third language for which there exist par- allel corpora with the source and target ... See full document

7

Pivot Language Approach for Phrase Based Statistical Machine Translation

Pivot Language Approach for Phrase Based Statistical Machine Translation

... the pivot models are not ...the pivot corpora, we decrease the French-English and English- French ...two pivot models, respectively. The translation results on the in-domain test set are ... See full document

8

A Decoder for Syntax based Statistical MT

A Decoder for Syntax based Statistical MT

... syntax-based statistical machine translation. The translation model was extended to incorporate phrasal ...is based on conventional syntactic parsing, and the grammar is expanded by the ... See full document

8

Improving Pivot Based Statistical Machine Translation by Pivoting the Co occurrence Count of Phrase Pairs

Improving Pivot Based Statistical Machine Translation by Pivoting the Co occurrence Count of Phrase Pairs

... two translation systems: a source-pivot MT system and a pivot- target MT ...source-pivot MT system translates it into the pivot language, (2) and the ... See full document

11

Using Feature Structures to Improve Verb Translation in English to German Statistical MT

Using Feature Structures to Improve Verb Translation in English to German Statistical MT

... feature-structure based repre- sentation of German verbal complexes, a gram- matical construction that is difficult for an SMT model to produce ...prove translation quality, measured both in terms of ... See full document

9

A Quality-based Active Sample Selection Strategy for Statistical Machine Translation

A Quality-based Active Sample Selection Strategy for Statistical Machine Translation

... One of the most efficient ways to improve the quality of a machine translation (MT) system is to enhance it with new training data. In many scenarios, monolingual data on either source or target ... See full document

6

Urdu to English Machine Translation using Bilingual Evaluation Understudy

Urdu to English Machine Translation using Bilingual Evaluation Understudy

... machine translation tool developed specifically for ...basic MT techniques has been discovered ...each MT system is evaluated using Bilingual Evaluation Understudy (BLEU) and the guidelines are ... See full document

8

A Framework of Translator From English Speech To Sanskrit Text

A Framework of Translator From English Speech To Sanskrit Text

... learning based approach and target language generation mechanism with the help of language English- Sanskrit language pair using rule based machine translation technique ...Rule Based Machine ... See full document

9

Panlingua KMI MT System for Similar Language Translation Task at WMT 2019

Panlingua KMI MT System for Similar Language Translation Task at WMT 2019

... Both the PBSMT and NMT systems were evalu- ated using the reference set provided by the shared task organizers. The standard MT evaluation met- rics, BLEU (Papineni et al., 2002) score and TER (Snover et al., ... See full document

6

Hierarchical MT Training using Max Violation Perceptron

Hierarchical MT Training using Max Violation Perceptron

... 1 if q = p + 1 0 otherwise , where p and q are the indices of the boundary words in the reference translation. The +LM node now has signature N [i:j] p?q , where p and q are the in- dexes of the boundary words. If ... See full document

6

Persian-Spanish Low-Resource Statistical Machine Translation Through English as Pivot Language

Persian-Spanish Low-Resource Statistical Machine Translation Through English as Pivot Language

... tiple translation tables for doing the combination ...the translation options are gath- ered from one table, and additional options are col- lected from other ...separate translation options for each ... See full document

7

Character Based Pivot Translation for Under Resourced Languages and Domains

Character Based Pivot Translation for Under Resourced Languages and Domains

... We decided to look at resource-poor languages from two language families: Macedonian repre- senting a Slavic language from the Balkan re- gion, Catalan and Galician representing two Ro- mance languages spoken mainly in ... See full document

11

Ensemble forecasts of air quality in eastern China – Part 2: Evaluation of the MarcoPolo–Panda prediction system, version 1

Ensemble forecasts of air quality in eastern China – Part 2: Evaluation of the MarcoPolo–Panda prediction system, version 1

... Bias corrections can be applied to improve the predictions of an individual model or a model ensemble. In our case, we have calculated the summertime bias of the time series of the hourly ozone concentrations from the ... See full document

26

Improving Pivot Translation by Remembering the Pivot

Improving Pivot Translation by Remembering the Pivot

... In statistical machine translation (SMT) (Brown et ...that translation with mod- els trained on larger parallel corpora can achieve greater accuracy (Dyer et ...a pivot language for which ... See full document

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