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008			210609s2021 si | o |||| 0|eng d
020			_a9789811619861
024	7		_a10.1007/978-981-16-1986-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ334 _b2021 EB
245	1	4	_aThe Development of Natural Language Processing : _bResearch on the Development of Electronic Information Engineering Technology in China
250			_aFirst edition 2021
264		1	_aSingapore _bSpringer International Publising _bSpringer International Publising _c2021
300			_a1 recurso en línea (XVIII, 83 páginas) _b34 ilustraciones, 28 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aComputer Science (SpringerNature-11645)
490	0		_aComputer Science (R0) (SpringerNature-43710)
505	0		_aChapter 1. Global Trends -- Chapter 2. Development Status in China -- Chapter 3. Trends and Highlights in China -- Chapter 4. Trends and Prospects.
520	3		_aThis 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 natural language processing. Meanwhile, it also bears high value of reference for experts, scholars, and technical and engineering managers of different levels and different fields.
988			_aSpringer_Computer_2021
650		7	_2embne _aInteligencia artificial _9413115
776	0	8	_iPrinted edition: _z9789811619854
776	0	8	_iPrinted edition: _z9789811619878
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-1986-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2022 _dz _eh _zSI