000 03959nam a22005295i 4500
001 978-3-031-02166-4
003 DE-He213
005 20240730163826.0
007 cr nn 008mamaa
008 220601s2017 sz | s |||| 0|eng d
020 _a9783031021664
_9978-3-031-02166-4
024 7 _a10.1007/978-3-031-02166-4
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aSaggion, Horacio.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980682
245 1 0 _aAutomatic Text Simplification
_h[electronic resource] /
_cby Horacio Saggion.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXV, 121 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _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.
650 0 _aArtificial intelligence.
_93407
650 0 _aNatural language processing (Computer science).
_94741
650 0 _aComputational linguistics.
_96146
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aNatural Language Processing (NLP).
_931587
650 2 4 _aComputational Linguistics.
_96146
710 2 _aSpringerLink (Online service)
_980683
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031001772
776 0 8 _iPrinted edition:
_z9783031010385
776 0 8 _iPrinted edition:
_z9783031032943
830 0 _aSynthesis Lectures on Human Language Technologies,
_x1947-4059
_980684
856 4 0 _uhttps://doi.org/10.1007/978-3-031-02166-4
912 _aZDB-2-SXSC
942 _cEBK
999 _c85013
_d85013