000			03485nam a22004215i 4500
999			_c387370 _d387370
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003			ES-MaUEC
005			20230315175252.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			220601s2013 sz | s |||| 0|eng d
020			_a9783031021527
024	7		_a10.1007/978-3-031-02152-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aP128.C68 _b2013 EB
100	1		_aSchäfer, Roland, _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687392 _d1974-
245	1	0	_aWeb Corpus Construction _cby Roland Schäfer, Felix Bildhauer
250			_a1st edition 2013
264		1	_aCham _bSpringer International Publishing _c2013
300			_a1 recurso en línea (XV, 129 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		_aPreface -- Acknowledgments -- Web Corpora -- Data Collection -- Post-Processing -- Linguistic Processing -- Corpus Evaluation and Comparison -- Bibliography -- Authors' Biographies.
520			_aThe World Wide Web constitutes the largest existing source of texts written in a great variety of languages. A feasible and sound way of exploiting this data for linguistic research is to compile a static corpus for a given language. There are several adavantages of this approach: (i) Working with such corpora obviates the problems encountered when using Internet search engines in quantitative linguistic research (such as non-transparent ranking algorithms). (ii) Creating a corpus from web data is virtually free. (iii) The size of corpora compiled from the WWW may exceed by several orders of magnitudes the size of language resources offered elsewhere. (iv) The data is locally available to the user, and it can be linguistically post-processed and queried with the tools preferred by her/him. This book addresses the main practical tasks in the creation of web corpora up to giga-token size. Among these tasks are the sampling process (i.e., web crawling) and the usual cleanups including boilerplate removal and removal of duplicated content. Linguistic processing and problems with linguistic processing coming from the different kinds of noise in web corpora are also covered. Finally, the authors show how web corpora can be evaluated and compared to other corpora (such as traditionally compiled corpora). For additional material please visit the companion website: sites.morganclaypool.com/wcc Table of Contents: Preface / Acknowledgments / Web Corpora / Data Collection / Post-Processing / Linguistic Processing / Corpus Evaluation and Comparison / Bibliography / Authors' Biographies.
988			_aSynthesis Collection of Technology_2013
650		7	_2embne _9156735 _aBuscadores de Internet
650		7	_2embne _9666075 _aLingüística computacional
700	1		_aBildhauer, Felix _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687393
776	0	8	_iPrinted edition: _z9783031010248
776	0	8	_iPrinted edition: _z9783031032806
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02152-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2023 _dz _esc _zSI