000 02383nam a2200385 i 4500
001 CR9781009091107
003 UkCbUP
005 20240508141511.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 210504s2023||||enk o ||1 0|eng|d
020 _a9781009091107 (ebook)
020 _z9781009095082 (paperback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aP128.C68
_bL35 2023
082 0 4 _a410.188
_223
100 1 _aLandert, Daniela,
_eauthor.
245 1 0 _aCorpus pragmatics /
_cDaniela Landert, Daria Dayter, Thomas C. Messerli, Miriam A. Locher.
264 1 _aCambridge, United Kingdom ;
_aNew York, NY :
_bCambridge University Press,
_c2023.
300 _a1 online resource (84 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 0 _aCambridge elements. Elements in pragmatics,
_x2633-6464
500 _aTitle from publisher's bibliographic system (viewed on 24 Feb 2023).
506 0 _aOpen Access.
_fUnrestricted online access
_2star
520 _aThis Element discusses the challenges and opportunities that different types of corpora offer for the study of pragmatic phenomena. The focus lies on a hands-on approach to methods and data that provides orientation for methodological decisions. In addition, the Element identifies areas in which new methodological developments are needed in order to make new types of data accessible for pragmatic research. Linguistic corpora are currently undergoing diversification. While one trend is to move towards increasingly large corpora, another trend is to enhance corpora with more specialised and layered annotation. Both these trends offer new challenges and opportunities for the study of pragmatics. This volume provides a practical overview of state-of-the-art corpus-pragmatic methods in relation to different types of corpus data, covering established methods as well as innovative approaches. This title is also available as Open Access on Cambridge Core.
650 0 _aCorpora (Linguistics)
650 0 _aPragmatics
_xData processing.
700 1 _aDayter, Daria,
_eauthor.
700 1 _aMesserli, Thomas C.,
_eauthor.
700 1 _aLocher, Miriam A.,
_d1972-
_eauthor.
776 0 8 _iPrint version:
_z9781009095082
856 4 0 _uhttps://doi.org/10.1017/9781009091107
999 _c38297
_d38297