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000859201 010__ $$a  2016017842
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000859201 020__ $$a9781138816282$$q(paperback)
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000859201 020__ $$a9781138816275$$q(hardcover)
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000859201 020__ $$z9781317597650$$q(electronic book)
000859201 035__ $$a(OCoLC)ocn962054679
000859201 035__ $$a859201
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000859201 05000 $$aP138.5$$b.G75 2017
000859201 08200 $$a410.1/8802855362$$223
000859201 1001_ $$aGries, Stefan Thomas,$$d1970-$$eauthor.
000859201 24510 $$aQuantitative corpus linguistics with R :$$ba practical introduction /$$cStefan Th. Gries.
000859201 250__ $$aSecond edition.
000859201 264_1 $$aNew York :$$bRoutledge, Taylor & Francis Group,$$c2017.
000859201 300__ $$aix, 274 pages :$$billustrations ;$$c26 cm
000859201 336__ $$atext$$btxt$$2rdacontent
000859201 337__ $$aunmediated$$bn$$2rdamedia
000859201 338__ $$avolume$$bnc$$2rdacarrier
000859201 504__ $$aIncludes bibliographical references and index.
000859201 5050_ $$a1. Introduction -- 2. The four central corpus-linguistic methods -- 3. An introduction to R -- 4. Some basic statistical notions and tests -- 5. Using R in corpus linguistics : case studies -- 6. Next steps ...
000859201 520__ $$a"As 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"--Provided by publisher.
000859201 650_0 $$aLinguistics$$xStatistical methods.
000859201 650_0 $$aR (Computer program language)
000859201 650_0 $$aComputational linguistics.
000859201 85200 $$bgen$$hP138.5$$i.G75$$i2017
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000859201 980__ $$aBIB
000859201 980__ $$aBOOK