LEADER 04664nam 22006855 450 001 9910416094303321 005 20250609111208.0 010 $a9783030464936 010 $a3030464938 024 7 $a10.1007/978-3-030-46493-6 035 $a(CKB)4100000011343259 035 $a(MiAaPQ)EBC6273784 035 $a(DE-He213)978-3-030-46493-6 035 $a(Perlego)3481104 035 $a(MiAaPQ)EBC6263995 035 $a(EXLCZ)994100000011343259 100 $a20200713d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApplying Language Technology in Humanities Research $eDesign, Application, and the Underlying Logic /$fby Barbara McGillivray, Gábor Mihály Tóth 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Palgrave Macmillan,$d2020. 215 $a1 online resource (xiii, 126 pages) 225 1 $aPalgrave pivot 300 $aIncludes index. 311 08$a9783030464929 311 08$a303046492X 327 $aChapter 1: Language Technology for the Humanities -- Chapter 2: Design of Text Resources and Tools -- Chapter 3: Frequency -- Chapter 4: Collocation -- Chapter 5: Word Meaning in Texts -- Chapter 6: Mining Textual Collections -- Chapter 7: Closing Remarks. . 330 $a?McGillivray and Tóth provide a very comprehensible introduction to the most important current approaches of computer-aided text analysis in the Digital Humanities. By giving illustrative examples and many practical tips, they let the reader participate in their vast experience in this quickly evolving field of research.?--Gregor Wiedemann, University of Hamburg, Germany This book presents established and state-of-the-art methods in Language Technology (including text mining, corpus linguistics, computational linguistics, and natural language processing), and demonstrates how they can be applied by humanities scholars working with textual data. The landscape of humanities research has recently changed thanks to the proliferation of big data and large textual collections such as Google Books, Early English Books Online, and Project Gutenberg. These resources have yet to be fully explored by new generations of scholars, and the authors argue that Language Technology has a key role to play in the exploration of large-scale textual data. The authors use a series of illustrative examples from various humanistic disciplines (mainly but not exclusively from History, Classics, and Literary Studies) to demonstrate basic and more complex use-case scenarios. This book will be useful to graduate students and researchers in humanistic disciplines working with textual data, including History, Modern Languages, Literary studies, Classics, and Linguistics. This is also a very useful book for anyone teaching or learning Digital Humanities and interested in the basic concepts from computational linguistics, corpus linguistics, and natural language processing. Barbara McGillivray is a Turing Research Fellow at the University of Cambridge and The Alan Turing Institute, UK. She has published two monographs, Methods in Latin Computational Linguistics (2014) and Quantitative Historical Linguistics. A corpus framework (2017). Gábor Mihály Tóth is a Research Fellow at the USC Shoah Foundation and the Signal Analysis and Interpretation Laboratory (SAIL), Viterbi School of Engineering, University of Southern California, USA. 410 0$aPalgrave pivot. 606 $aLinguistics$xMethodology 606 $aDigital humanities 606 $aComputational linguistics 606 $aData mining 606 $aResearch Methods in Language and Linguistics 606 $aDigital Humanities 606 $aComputational Linguistics 606 $aData Mining and Knowledge Discovery 615 0$aLinguistics$xMethodology. 615 0$aDigital humanities. 615 0$aComputational linguistics. 615 0$aData mining. 615 14$aResearch Methods in Language and Linguistics. 615 24$aDigital Humanities. 615 24$aComputational Linguistics. 615 24$aData Mining and Knowledge Discovery. 676 $a410.285 676 $a001.30721 700 $aMcGillivray$b Barbara$4aut$4http://id.loc.gov/vocabulary/relators/aut$0897715 702 $aTóth$b Gábor Mihály$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910416094303321 996 $aApplying Language Technology in Humanities Research$92005640 997 $aUNINA