紀錄類型 : 書目-語言資料,印刷品: 單行本
正題名/作者 : Data and methods in corpus linguistics/ edited by Ole Schützler, Julia Schlüter.
其他題名 : comparative approaches /
其他作者 : Schützler, Ole.
出版者 : Cambridge ; New York :Cambridge University Press,2022.
面頁冊數 : xvi, 357 p. :ill., digital ;24 cm.
附註 : Title from publisher's bibliographic system (viewed on 07 Apr 2022).
標題 : Corpora (Linguistics) - Data processing. -
電子資源 : https://doi.org/10.1017/9781108589314
ISBN : 9781108589314
ISBN : 9781108499644
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245 00$aData and methods in corpus linguistics$h[electronic resource] :$bcomparative approaches /$cedited by Ole Schützler, Julia Schlüter.
260 $aCambridge ; New York :$bCambridge University Press,$c2022.
300 $axvi, 357 p. :$bill., digital ;$c24 cm.
500 $aTitle from publisher's bibliographic system (viewed on 07 Apr 2022).
520 $aCorpus linguistics continues to be a vibrant methodology applied across highly diverse fields of research in the language sciences. With the current steep rise in corpus sizes, computational power, statistical literacy and multi-purpose software tools, and inspired by neighbouring disciplines, approaches have diversified to an extent that calls for an intensification of the accompanying critical debate. Bringing together a team of leading experts, this book follows a unique design, comparing advanced methods and approaches current in corpus linguistics, to stimulate reflective evaluation and discussion. Each chapter explores the strengths and weaknesses of different datasets and techniques, presenting a case study and allowing readers to gauge methodological options in practice. Contributions also provide suggestions for further reading, and data and analysis scripts are included in an online appendix. This is an important and timely volume, and will be essential reading for any linguist interested in corpus-linguistic approaches to variation and change.
650 0$aCorpora (Linguistics)$xData processing.$3292750
650 0$aLinguistics$xStatistical methods.$3292751
700 1 $aSchützler, Ole.$3292748
700 1 $aSchlüter, Julia.$3292749
856 40$uhttps://doi.org/10.1017/9781108589314