Referential Translation Machines for Predicting Translation Quality

Keywords

Machine translation, Computer science, Artificial intelligence, Natural language processing, Translation (biology)

References

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• A tutorial on support vector regressionAlex Smola, Bernhard Schölkopf — 2004
• Predicting sentence translation quality using extrinsic and language independent featuresErgun Biçici, Declan Groves, Josef van Genabith — 2013
• The Mathematics of Statistical Machine Translation: Parameter EstimationPeter F. Brown, Vincent J. Della Pietra, Stephen A. Della Pietra — 1993
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• Extremely randomized treesPierre Geurts, Damien Ernst, Louis Wehenkel — 2006
• Optimizing Instance Selection for Statistical Machine Translation with Feature Decay AlgorithmsErgun Biçici, Deniz Yüret — 2015
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• Bleu: a Method for Automatic Evaluation of Machine TranslationKishore Papineni, Salim Roukos, Todd J. Ward — 2002
• QuEst – Design, Implementation and Extensions of a Framework for Machine Translation Quality EstimationKashif Shah, Eleftherios Avramidis, Ergun Biçici — 2013
• RTM-DCU: Referential Translation Machines for Semantic SimilarityErgun Biçici, Andy Way — 2014
• Instance Selection for Machine Translation using Feature Decay AlgorithmsErgun Biçici, Deniz Yüret — 2011
• Moses: Open Source Toolkit for Statistical Machine TranslationPhilipp Koehn, Richard Zens, Chris Dyer — 2007

Cited by

• Optimizing Instance Selection for Statistical Machine Translation with Feature Decay AlgorithmsErgun Biçici, Deniz Yüret — 2015
• RTM-DCU: Predicting Semantic Similarity with Referential Translation MachinesErgun Biçici — 2015
• RTM-DCU: Referential Translation Machines for Semantic SimilarityErgun Biçici, Andy Way — 2014
• Target-Centric Features for Translation Quality EstimationChris Hokamp, Iacer Calixto, Joachim Wagner — 2014
• The role of syntax and semantics in machine translation and quality estimation of machine-translated user-generated contentRasoul Samad, Zadeh Kaljahi — 2015
• Referential Translation Machines for Predicting Translation Quality and Related StatisticsErgun Biçici, Qun Liu, Andy Way — 2015
• Workshop and Shared Task ProceedingsAnkit Srivastava, Federico Gaspari, Lucia Specia — 2014
• Multi-level Translation Quality Prediction with QuEst++Lucia Specia, Gustavo Henrique Paetzold, Carolina Scarton — 2015
• Using on-line available sources of bilingual information for word-level machine translation quality estimationMiquel Esplà-Gomis, Felipe Sánchez-Martínez, Mikel L. Forcada — 2015
• Findings of the 2015 Workshop on Statistical Machine TranslationOndřej Bojar, Rajen Chatterjee, Christian Federmann — 2015
• Correlations of perceived post-editing effort with measurements of actual effortJoss Moorkens, Sharon O’Brien, Igor Antônio Lourenço da Silva — 2015
• Findings of the 2014 Workshop on Statistical Machine TranslationOndřej Bojar, Christian Buck, Christian Federmann — 2014
• Referential translation machines for predicting semantic similarityErgun Biçici, Andy Way — 2015
• Referential Translation Machines for Predicting Translation PerformanceErgun Biçici — 2016
• Document-level machine translation quality estimationCarolina Scarton — 2016
• Correlating decoding events with errors in Statistical Machine TranslationEleftherios Avramidis, Maja Popović — 2014
• Towards a post-editing recommendation system for Spanish-Basque machine translationNora Aranberri, José A. Pascual — 2018
• Word-Level Quality Estimation for Korean-English Neural Machine TranslationSugyeong Eo, Chanjun Park, Hyeonseok Moon — 2022
• Automatic Prediction of the Performance of Every ParserErgun Biçici — 2024
• Large Scale Translation Quality EstimationMiguel Ángel Ríos Gaona, Serge Sharoff — 2015

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