000 03768nam a22005295i 4500
001 978-3-031-02152-7
003 DE-He213
005 20240730163823.0
007 cr nn 008mamaa
008 220601s2013 sz | s |||| 0|eng d
020 _a9783031021527
_9978-3-031-02152-7
024 7 _a10.1007/978-3-031-02152-7
_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 _aSchäfer, Roland.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980661
245 1 0 _aWeb Corpus Construction
_h[electronic resource] /
_cby Roland Schäfer, Felix Bildhauer.
250 _a1st ed. 2013.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2013.
300 _aXV, 129 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 _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.
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
700 1 _aBildhauer, Felix.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980662
710 2 _aSpringerLink (Online service)
_980663
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031010248
776 0 8 _iPrinted edition:
_z9783031032806
830 0 _aSynthesis Lectures on Human Language Technologies,
_x1947-4059
_980664
856 4 0 _uhttps://doi.org/10.1007/978-3-031-02152-7
912 _aZDB-2-SXSC
942 _cEBK
999 _c85008
_d85008