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008 160422s2017 nyu b 001 0 eng
010 _a 2016017842
020 _a1138816272 (hardback)
020 _a9781138816275 (hardback)
020 _a9781138816282 (pbk.)
020 _z9781317597643 (mobipocket/kindle)
020 _z9781317597650 (epub)
035 _a(IMchF)fol17014262
040 _aDLC
_beng
_cDLC
_dDLC
042 _apcc
050 0 0 _aP138.5
_b.G75 2017
082 0 0 _a410.1/8802855362
_223
100 1 _aGries, Stefan Thomas,
_d1970-
245 1 0 _aQuantitative corpus linguistics with R :
_ba practical introduction /
_cStefan Th. Gries.
250 _a2nd ed.
260 _aNew York :
_bRoutledge, Taylor & Francis Group,
_c2017.
300 _aix, 274 p. :
_bill. ;
_c26 cm.
504 _aIncludes bibliographical references and index.
520 _aAs in its first edition, the new edition of Quantitative Corpus Linguistics with R demonstrates how to process corpus-linguistic data with the open-source programming language and environment R. Geared in general towards linguists working with observational data, and particularly corpus linguists, it introduces R programming with emphasis on: data processing and manipulation in general; text processing with and without regular expressions of large bodies of textual and/or literary data, and; basic aspects of statistical analysis and visualization. This book is extremely hands-on and leads the reader through dozens of small applications as well as larger case studies. Along with an array of exercise boxes and separate answer keys, the text features a didactic sequential approach in case studies by way of subsections that zoom in to every programming problem. The companion website to the book contains all relevant R code (amounting to approximately 7,000 lines of heavily commented code), most of the data sets as well as pointers to others, and a dedicated Google newsgroup. This new edition is ideal for both researchers in corpus linguistics and instructors who want to promote hands-on approaches to data in corpus linguistics courses.
650 0 _aComputational linguistics.
650 0 _aLinguistics
_xStatistical methods.
650 0 _aR (Computer program language)
999 _c6987
_d6987