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"From tech giants to plucky startups, the world is full of companies boasting that they are on their way to replacing human interpreters, but are they right? Interpreters vs Machines offers a solid introduction to recent theory and research on human and machine interpreting, and then invites the reader to explore the future of interpreting. With a Foreword by Dr Henry Liu, the 13th FIT President and written by consultant interpreter and researcher Jonathan Downie, this book offers a unique combination of research and practical insight into the field of interpreting. Written in an innovative, accessible style with humorous touches and real-life case studies, this book is structured around the metaphor of playing and winning a computer game. It takes interpreters of all experience levels on a journey to better understand their own work, learn how computers attempt to interpret and explore possible futures for human interpreters. With five levels, split into fourteen chapters, Interpreters vs Machines is key reading for all professional interpreters, as well as students and researchers of Interpreting and Translation Studies, and those with an interest in machine interpreting"--

Machine translating. --- Translating and interpreting. --- Artificial intelligence. Robotics. Simulation. Graphics --- Interpreting --- Mathematical linguistics

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La traduction automatique (T.A.) paraît une gageure, et pourtant elle est utilisée par de grands organismes internationaux et par d’importantes industries. Elle a été le sujet de nombreuses controverses tant scientifiques qu’économiques. Les opinions sont multiples mais les faits existent. Cet ouvrage présente l’histoire de la T.A. et les différents systèmes. On y discute des problèmes linguistiques (lexique, morphologie, syntaxe, style) posés par la T.A. telle qu’elle est pratiquée en Europe. Ce n’est pas un ouvrage technique sur l’analyse ou la génération de textes. C’est une réflexion sur la lecture et l’utilisation des documents produits par T.A. L’application de la T.A. à l’enseignement et à la recherche ainsi que la signification épistémologique du traitement automatique multilingue font partie de cette réflexion générale. Ce livre s’adresse tant aux linguistes qu’à un vaste public non spécialisé.

Translation science --- Machine translating. --- Traduction automatique --- Automatic translating --- Computer translating --- Electronic translating --- Mechanical translating --- Algorithms --- Applied linguistics --- Artificial intelligence --- Natural language generation (Computer science) --- Information theory --- Translating and interpreting --- Cross-language information retrieval --- Translating machines --- traduction --- automatisation --- littérature --- information

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authored support system; contextual machine translation; controlled document authoring; controlled language; document structure; terminology management; translation technology; usability evaluation

Machine translating. --- Computational linguistics. --- Natural language processing (Computer science). --- Translation science --- Mathematical linguistics --- Natural language processing (Computer science) --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Multilingual computing --- Automatic translating --- Computer translating --- Electronic translating --- Mechanical translating --- Algorithms --- Artificial intelligence --- Natural language generation (Computer science) --- Information theory --- Translating and interpreting --- Translating machines --- NLP (Computer science) --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Data processing --- authored support system; contextual machine translation; controlled document authoring; controlled language; document structure; terminology management; translation technology; usability evaluation

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This book provides the readers with retrospective and prospective views with detailed explanations of component technologies, speech recognition, language translation and speech synthesis. Speech-to-speech translation system (S2S) enables to break language barriers, i.e., communicate each other between any pair of person on the glove, which is one of extreme dreams of humankind. People, society, and economy connected by S2S will demonstrate explosive growth without exception. In 1986, Japan initiated basic research of S2S, then the idea spread world-wide and were explored deeply by researchers during three decades. Now, we see S2S application on smartphone/tablet around the world. Computational resources such as processors, memories, wireless communication accelerate this computation-intensive systems and accumulation of digital data of speech and language encourage recent approaches based on machine learning. Through field experiments after long research in laboratories, S2S systems are being well-developed and now ready to utilized in daily life. Unique chapter of this book is end-2-end evaluation by comparing system’s performance and human competence. The effectiveness of the system would be understood by the score of this evaluation. The book will end with one of the next focus of S2S will be technology of simultaneous interpretation for lecture, broadcast news and so on.

Automatic speech recognition. --- Machine translating. --- Automatic translating --- Computer translating --- Electronic translating --- Mechanical translating --- Algorithms --- Applied linguistics --- Artificial intelligence --- Natural language generation (Computer science) --- Information theory --- Translating and interpreting --- Cross-language information retrieval --- Translating machines --- Mechanical speech recognizer --- Speech recognition, Automatic --- Pattern recognition systems --- Perceptrons --- Speech, Intelligibility of --- Speech perception --- Speech processing systems --- Natural language processing (Computer science). --- Signal processing. --- Image processing. --- Speech processing systems. --- Natural Language Processing (NLP). --- Signal, Image and Speech Processing. --- Computational linguistics --- Electronic systems --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- NLP (Computer science) --- Electronic data processing --- Human-computer interaction --- Semantic computing