The Development of Natural Language Processing
Research on the Development of Electronic Information Engineering Technology in China
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This book is a part of the Blue Book series "Research on the Development of Electronic Information Engineering Technology in China", which explores the cutting edge of natural language processing (NLP) studies.The research objects of natural language processing are evolved from words, phrases, and sentences to text, and research directions are from language analysis, language understanding, language generation, knowledge graphs, machine translation, to deep semantic understanding, and beyond. This is in line with the development trend of applications. And for another typical NLP application ma...
This book is a part of the Blue Book series "Research on the Development of Electronic Information Engineering Technology in China", which explores the cutting edge of natural language processing (NLP) studies.
The research objects of natural language processing are evolved from words, phrases, and sentences to text, and research directions are from language analysis, language understanding, language generation, knowledge graphs, machine translation, to deep semantic understanding, and beyond. This is in line with the development trend of applications. And for another typical NLP application machine translation, from text translation, to voice and image translation, now simultaneous interpretation, progress of technology makes the application of machine translation deeper and wider into diverse industries.
This book is intended for researchers and industrial staffs who have been following the current situation and future trends of the naturallanguage processing. Meanwhile, it also bears high value of reference for experts, scholars, and technical and engineering managers of different levels and different fields.
The research objects of natural language processing are evolved from words, phrases, and sentences to text, and research directions are from language analysis, language understanding, language generation, knowledge graphs, machine translation, to deep semantic understanding, and beyond. This is in line with the development trend of applications. And for another typical NLP application machine translation, from text translation, to voice and image translation, now simultaneous interpretation, progress of technology makes the application of machine translation deeper and wider into diverse industries.
This book is intended for researchers and industrial staffs who have been following the current situation and future trends of the naturallanguage processing. Meanwhile, it also bears high value of reference for experts, scholars, and technical and engineering managers of different levels and different fields.
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