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'Natural Language Processing in the Real World' is a practical guide for applying data science and machine learning to build Natural Language Processing (NLP) solutions.
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Advancing Natural Language Processing in Educational Assessment examines the use of natural language technology in educational testing, measurement, and assessment.
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Advancing Natural Language Processing in Educational Assessment examines the use of natural language technology in educational testing, measurement, and assessment.
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Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision provides an overview of general deep learning methodology and its applications of natural language processing (NLP), speech and computer vision tasks.
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This Element presents an alternative eye tracking methodology for investigating translators' web search behaviour as well as a systematic approach to gauging the reasoning behind translators' highly complex and context-dependent interaction with search engines and the Web.
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Demystifying the workings of Computer-Assisted Translation (CAT) and Machine Translation (MT) technologies, this book offers clear step-by-step guidance on how to... Læs mere
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Routledge Encyclopedia of Translation Technology, second edition, provides a state-of-the art survey of the field of computer-assisted translation. It is... Læs mere
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