Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Applying Language Technology in Huma...
~
SpringerLink (Online service)
Applying Language Technology in Humanities Research = Design, Application, and the Underlying Logic /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Applying Language Technology in Humanities Research/ by Barbara McGillivray, Gábor Mihály Tóth.
Reminder of title:
Design, Application, and the Underlying Logic /
Author:
McGillivray, Barbara.
other author:
Tóth, Gábor Mihály.
Description:
XIII, 126 p. 18 illus., 10 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Linguistics—Methodology. -
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 Research
Design, Application, and the Underlying Logic /[electronic resource] :by Barbara McGillivray, Gábor Mihály Tóth. - 1st ed. 2020. - XIII, 126 p. 18 illus., 10 illus. in color.online resource.
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 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.
ISBN: 9783030464936
Standard No.: 10.1007/978-3-030-46493-6doiSubjects--Topical Terms:
1280593
Linguistics—Methodology.
LC Class. No.: P29.52-41.22
Dewey Class. No.: 407.21
Applying Language Technology in Humanities Research = Design, Application, and the Underlying Logic /
LDR
:03767nam a22003855i 4500
001
1017658
003
DE-He213
005
20200713144617.0
007
cr nn 008mamaa
008
210318s2020 gw | s |||| 0|eng d
020
$a
9783030464936
$9
978-3-030-46493-6
024
7
$a
10.1007/978-3-030-46493-6
$2
doi
035
$a
978-3-030-46493-6
050
4
$a
P29.52-41.22
072
7
$a
CF
$2
bicssc
072
7
$a
LAN009000
$2
bisacsh
072
7
$a
CF
$2
thema
082
0 4
$a
407.21
$2
23
100
1
$a
McGillivray, Barbara.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1312521
245
1 0
$a
Applying Language Technology in Humanities Research
$h
[electronic resource] :
$b
Design, Application, and the Underlying Logic /
$c
by Barbara McGillivray, Gábor Mihály Tóth.
250
$a
1st ed. 2020.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Palgrave Macmillan,
$c
2020.
300
$a
XIII, 126 p. 18 illus., 10 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
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 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.
650
0
$a
Linguistics—Methodology.
$3
1280593
650
0
$a
Humanities—Digital libraries.
$3
1260681
650
0
$a
Corpora (Linguistics).
$3
1259603
650
0
$a
Computational linguistics.
$3
555811
650
0
$a
Data mining.
$3
528622
650
1 4
$a
Research Methods in Language and Linguistics.
$3
1211469
650
2 4
$a
Digital Humanities.
$3
1113776
650
2 4
$a
Corpus Linguistics.
$3
1103597
650
2 4
$a
Computational Linguistics.
$3
670080
650
2 4
$a
Data Mining and Knowledge Discovery.
$3
677765
700
1
$a
Tóth, Gábor Mihály.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1312522
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030464929
776
0 8
$i
Printed edition:
$z
9783030464943
856
4 0
$u
https://doi.org/10.1007/978-3-030-46493-6
912
$a
ZDB-2-EDA
912
$a
ZDB-2-SXED
950
$a
Education (SpringerNature-41171)
950
$a
Education (R0) (SpringerNature-43721)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login