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This is the first volume that brings together research and practice from academic and industry settings and a combination of human and machine translation evaluation. Its comprehensive collection of papers by leading experts in human and machine translation quality and evaluation who situate current developments and chart future trends fills a clear gap in the literature. This is critical to the successful integration of translation technologies in the industry today, where the lines between human and machine are becoming increasingly blurred by technology: this affects the whole translation landscape, from students and trainers to project managers and professionals, including in-house and freelance translators, as well as, of course, translation scholars and researchers. The editors have broad experience in translation quality evaluation research, including investigations into professional practice with qualitative and quantitative studies, and the contributors are leading experts in their respective fields, providing a unique set of complementary perspectives on human and machine translation quality and evaluation, combining theoretical and applied approaches. .

Translating and interpreting --- Machine translating --- Evaluation. --- Automatic translating --- Computer translating --- Electronic translating --- Mechanical translating --- Algorithms --- Applied linguistics --- Artificial intelligence --- Natural language generation (Computer science) --- Information theory --- Cross-language information retrieval --- Translating machines --- Interpretation and translation --- Interpreting and translating --- Language and languages --- Literature --- Translation and interpretation --- Translators --- Translating --- Natural language processing (Computer science). --- Computational linguistics. --- Natural Language Processing (NLP). --- Computational Linguistics. --- Automatic language processing --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Mathematical linguistics --- Multilingual computing --- NLP (Computer science) --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Data processing --- Traducción --- Traducción automática --- Traducción --- Control de calidad --- Proceso de datos --- Recursos de información electrónicos --- Innovaciones tecnológicas

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• Reference Manager
• EndNote
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This is the first volume that brings together research and practice from academic and industry settings and a combination of human and machine translation evaluation. Its comprehensive collection of papers by leading experts in human and machine translation quality and evaluation who situate current developments and chart future trends fills a clear gap in the literature. This is critical to the successful integration of translation technologies in the industry today, where the lines between human and machine are becoming increasingly blurred by technology: this affects the whole translation landscape, from students and trainers to project managers and professionals, including in-house and freelance translators, as well as, of course, translation scholars and researchers. The editors have broad experience in translation quality evaluation research, including investigations into professional practice with qualitative and quantitative studies, and the contributors are leading experts in their respective fields, providing a unique set of complementary perspectives on human and machine translation quality and evaluation, combining theoretical and applied approaches. .

Artificial intelligence. Robotics. Simulation. Graphics --- Translation science --- Mathematical linguistics --- Theory of literary translation