東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Applying language technology in huma...

McGillivray, Barbara.

Linked to FindBook

Google Book

Amazon

博客來

Applying language technology in humanities research = design, application, and the underlying logic /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applying language technology in humanities research/ by Barbara McGillivray, Gabor Mihaly Toth.
Reminder of title:	design, application, and the underlying logic /
Author:	McGillivray, Barbara.
other author:	Toth, Gabor Mihaly.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xiii, 126 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 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.
Contained By:	Springer Nature eBook
Subject:	Computational linguistics. -
Online resource:	https://doi.org/10.1007/978-3-030-46493-6
ISBN:	9783030464936

Applying language technology in humanities research = design, application, and the underlying logic /
McGillivray, Barbara.

Applying language technology in humanities researchdesign, application, and the underlying logic /[electronic resource] :by Barbara McGillivray, Gabor Mihaly Toth. - Cham :Springer International Publishing :2020. - xiii, 126 p. :ill., digital ;24 cm.

Chapter 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.

"McGillivray and Toth 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) Gabor Mihaly Toth 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.

ISBN: 9783030464936

Standard No.: 10.1007/978-3-030-46493-6doiSubjects--Topical Terms:

606540
Computational linguistics.

LC Class. No.: P98 / .M345 2020

Dewey Class. No.: 006.35

Applying language technology in humanities research = design, application, and the underlying logic /
LDR:03418nmm a2200325 a 4500 001 2222479
003 DE-He213
005 20201112110501.0
006 m d
007 cr nn 008maaau
008 210108s2020 sz s 0 eng d
020 $a 9783030464936 $q (electronic bk.)
020 $a 9783030464929 $q (paper)
024 7 $a 10.1007/978-3-030-46493-6 $2 doi
035 $a 978-3-030-46493-6
040 $a GP $c GP
041 0 $a eng
050 4 $a P98 $b .M345 2020
072 7 $a CF $2 bicssc
072 7 $a LAN009000 $2 bisacsh
072 7 $a CF $2 thema
082 0 4 $a 006.35 $2 23
090 $a P98 $b .M145 2020
100 1 $a McGillivray, Barbara. $3 3461259
245 1 0 $a Applying language technology in humanities research $h [electronic resource] : $b design, application, and the underlying logic / $c by Barbara McGillivray, Gabor Mihaly Toth.
260 $a Cham : $b Springer International Publishing : $b Imprint: Palgrave Macmillan, $c 2020.
300 $a xiii, 126 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 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.
520 $a "McGillivray and Toth 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) Gabor Mihaly Toth 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.
650 0 $a Computational linguistics. $3 606540
650 1 4 $a Research Methods in Language and Linguistics. $3 3302523
650 2 4 $a Digital Humanities. $3 3134775
650 2 4 $a Corpus Linguistics. $3 2180753
650 2 4 $a Computational Linguistics. $3 893900
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
700 1 $a Toth, Gabor Mihaly. $3 3461260
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-46493-6
950 $a Education (SpringerNature-41171)