LEADER 03410oam 2200649I 450 001 9910136146403321 005 20241126122321.0 010 $a9781315746210 010 $a1315746212 010 $a9781317597650 010 $a1317597656 010 $a9781317597667 010 $a1317597664 024 7 $a10.4324/9781315746210 035 $a(CKB)3710000000912538 035 $a(MiAaPQ)EBC4717894 035 $a(OCoLC)960895288 035 $a(CaSebORM)9781317597650 035 $a(OCoLC)962413760 035 $a(OCoLC-P)962413760 035 $a(EXLCZ)993710000000912538 100 $a20180706d2017 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aQuantitative corpus linguistics with R $ea practical introduction /$fStefan Th. Gries 205 $aSecond edition. 210 1$aNew York ;$aLondon :$cRoutledge,$d2017. 215 $a1 online resource (203 pages) $cillustrations, tables 300 $aPrevious edition: 2009. 311 08$a9781138816282 311 08$a1138816280 311 08$a9781138816275 311 08$a1138816272 320 $aIncludes bibliographical references and index. 327 $a1. Introduction -- 2. The four central corpus-linguistic methods -- 3. An introduction to R -- 4. Some basic statistical notions and tests -- 5. Using R in corpus linguistics : case studies -- 6. Next steps. 330 $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. 606 $aR (Computer program language) 606 $aLinguistic analysis (Linguistics)$xData processing 606 $aCorpora (Linguistics) 606 $aComputational linguistics 615 0$aR (Computer program language) 615 0$aLinguistic analysis (Linguistics)$xData processing. 615 0$aCorpora (Linguistics) 615 0$aComputational linguistics. 676 $a410.18802855362 676 $a410.285536 700 $aGries$b Stefan Thomas$f1970-,$0517466 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910136146403321 996 $aQuantitative corpus linguistics with R$92002062 997 $aUNINA