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Post-editing Machine Translation in MateCat: a classroom experiment
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Herget, Katrin. - : Editorial Universitat Politècnica de València, 2021
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A tradução automática enquanto elemento precursor de mudança: experiência de estágio na SDL Portugal ; Machine translation as a precursory element of change: internship experience at SDL Portugal
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Influencia de la posedición de traducción automática en lacalidad de los textos traducidos en la Dirección General de Traducción de la Comisión Europea
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In: LFE: Revista de lenguas para fines específicos, ISSN 1133-1127, Vol. 26, Nº 1, 2020 (Ejemplar dedicado a: Investigar en Traducción e Interpretación: Nuevos Enfoques y Perspectivas), pags. 26-38 (2020)
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PE2 rr corpus: manual error annotation of automatically pre-annotated MT post-edits
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Linguistic challenges of translating, revising, post-editing and editing academic publications
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Differences between SMT and NMT Output - a Translators' Point of View
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In: The Second Workshop on Human-Informed Translation and Interpreting Technology (HiT-IT 2019) (2019)
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Projeto de tradução especializada: a Norma ISO 21001 para a área da educação em língua portuguesa
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A pós-edição no mercado de tradução: experiência de estágio na SDL Portugal ; Post-editing in translation industry: internship experience held at SDL Portugal
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La posedición de traducciones de textos técnicos del alemán al castellano
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In: TDX (Tesis Doctorals en Xarxa) (2017)
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Machine Translation Post-Editing at TransPerfect - the 'Human' Side of the Process
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Study on the use of machine translation and post-editing in Swiss-based language service providers
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In: Parallèles , No 29(2) (2017) (2017)
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Machine translation implementation among language service providers in Spain : A mixed methods study
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The ACCEPT academic portal : a user-centred online platform for pre-editing and post-editing
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In: ISBN: 9782970073659 ; New Horizons in Translation and Interpreting Studies (2015)
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Statistical post-editing and quality estimation for machine translation systems
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In: Béchara, Hanna (2014) Statistical post-editing and quality estimation for machine translation systems. Master of Science thesis, Dublin City University. (2014)
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Abstract:
Statistical post-editing (SPE) has been successfully applied to RBMT systems and, to a less successful extent, to some SMT systems. This thesis investigates the impact of SPE on SMT systems. We apply SPE to an SMT system using a new context-modelling approach to preserve some aspects of source information in the second stage translation. This technique yields mixed results, but fails to consistently improve the output over the baseline. Furthermore, we compared the results to those of an RBMT+SPE system and a pure SMT system, using both automatic and human evaluation methods. Results show that while automatic evaluation metrics favour a pure SMT system, manual evaluators prefer the output provided by the combined RBMT+SPE system. We investigate the use machine learning methods to predict which sentences would benefit from post-editing, however, as the oracle score for both SMT and SMT+SPE was not much higher than the two systems alone, we decided to compare two systems that had a higher upper bound. Combining our analysis with machine learning techniques for quality estimation, we are able to improve the overall output by automatically selecting the best sentences from each of the SMT and RBMT+SPE systems.
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Keyword:
Computational linguistics; Machine translating; Post-editing; Quality Estimation
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URL: http://doras.dcu.ie/19751/
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Rule-based Automatic Post-processing of SMT Output to Reduce Human Post-editing Effort
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In: Translating and the Computer 36 (2014)
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Interactive translation prediction versus conventional post-editing in practice: a study with the CasMaCat workbench
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Skills and Profile of the New Role of the Translator as MT Post-editor
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Error detection for post-editing rule-based machine translation
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