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This book presents four approaches to jointly training bidirectional neural machine translation (NMT) models. First, in order to improve the accuracy of the... Læs mere
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This comprehensive text on the theory and techniques of graph neural networks takes students, practitioners, and researchers from the basics to the state of the art. It... Læs mere
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This edited book is a collection of the latest empirical studies of translation and interpreting (T&I) from the post-structuralist perspective. The contributors are professors, readers, senior lecturers, lecturers and research students from an international context.
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An advanced resource for a rapidly evolving research field, aimed at students and academics of translation studies and related fields such as applied linguistics, corpus linguistics, translation technology and digital humanities.
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Deep learning is revolutionizing how machine translation systems are built today. This introduction to machine translation starts from the basics of neural network methods and... Læs mere
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Provides a theoretical exploration into the extra-linguistic knowledge needed for natural language processing and a description of HowNet as a case... Læs mere
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This book presents the methods, tools and techniques that are currently being used to recognise (automatically) the affect, emotion, personality and everything else beyond linguistics ( paralinguistics ) expressed by or embedded in human speech and language.
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This book investigates how to improve statistical machine speech translation between Polish and English. The main objective of the book is to develop... Læs mere
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Provides a comprehensive, modern reference of practical tools and techniques for implementing natural language processing in computer systems. This title covers... Læs mere
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This volume celebrates the twentieth anniversary of CLEF - the Cross-Language Evaluation Forum for the first ten years, and the Conference and Labs of the Evaluation Forum since – and traces its evolution over these first two decades.
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The techniques of natural language processing (NPL) have been widely applied in machine translation and automated message understanding, and recently in second language teaching. This book offers both an argument for and a critical examination of this new application.