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008			220601s2017 sz | s |||| 0|eng d
020			_a9783031021664
024	7		_a10.1007/978-3-031-02166-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.T48 _b2017 EB
100	1		_aSaggion, Horacio, _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687408 _d1963-
245	1	0	_aAutomatic Text Simplification _cby Horacio Saggion
250			_a1st edition 2017
264		1	_aCham _bSpringer International Publishing _c2017
300			_a1 recurso en línea (XV, 121 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Human Language Technologies _x1947-4059
505	0		_aAcknowledgments -- Introduction -- Readability and Text Simplification -- Lexical Simplification -- Syntactic Simplification -- Learning to Simplify -- Full Text Simplification Systems -- Applications of Automatic Text Simplification -- Text Simplification Resources and Evaluation -- Conclusion -- Bibliography -- Author's Biography.
520			_aThanks to the availability of texts on the Web in recent years, increased knowledge and information have been made available to broader audiences. However, the way in which a text is written-its vocabulary, its syntax-can be difficult to read and understand for many people, especially those with poor literacy, cognitive or linguistic impairment, or those with limited knowledge of the language of the text. Texts containing uncommon words or long and complicated sentences can be difficult to read and understand by people as well as difficult to analyze by machines. Automatic text simplification is the process of transforming a text into another text which, ideally conveying the same message, will be easier to read and understand by a broader audience. The process usually involves the replacement of difficult or unknown phrases with simpler equivalents and the transformation of long and syntactically complex sentences into shorter and less complex ones. Automatic text simplification, a research topic which started 20 years ago, now has taken on a central role in natural language processing research not only because of the interesting challenges it posesses but also because of its social implications. This book presents past and current research in text simplification, exploring key issues including automatic readability assessment, lexical simplification, and syntactic simplification. It also provides a detailed account of machine learning techniques currently used in simplification, describes full systems designed for specific languages and target audiences, and offers available resources for research and development together with text simplification evaluation techniques.
988			_aSynthesis Collection of Technology_2017
650		7	_2embne _9141188 _aProceso de textos
650		7	_2embne _9687409 _aAbstracción
776	0	8	_iPrinted edition: _z9783031001772
776	0	8	_iPrinted edition: _z9783031010385
776	0	8	_iPrinted edition: _z9783031032943
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02166-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2023 _dz _esc _zSI