SMILE – Repository of the Faculty of Dental Medicine
University of Belgrade - Faculty of Dental Medicine
    • English
    • Српски
    • Српски (Serbia)
  • English 
    • English
    • Serbian (Cyrillic)
    • Serbian (Latin)
  • Login
View Item 
  •   SMILE
  • Stomatološki fakultet
  • Radovi istraživača
  • View Item
  •   SMILE
  • Stomatološki fakultet
  • Radovi istraživača
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Textometric methods and the TXM platform for corpus analysis and visual presentation

Tekstometrijske metode i TXM platforma za analizu i vizuelnu prezentaciju korpusa

Thumbnail
2019
2404.pdf (735.0Kb)
Authors
Jaćimović, Jelena
Article (Published version)
Metadata
Show full item record
Abstract
Textometric approach has long been applied as a useful method for corpus analysis in various fields of humanities and social sciences. Textometry allows the non-linear quantitative and qualitative study of digital corpora, combining lexicometric and statistical research with developed corpus technologies. In this paper, the current version of the srpELTeC corpus was analyzed within the TXM program environment to illustrate the possibilities of the textometric approach and visual presentation of the obtained results.
Tekstometrijski pristup se već dugo primenjuje kao korisna metoda za analizu korpusa u različitim oblastima društveno-humanističkih nauka. Kombinu]ući leksikometri]ska i statistička istraživanja sa razvi]enim korpusnim tehnologijama, tekstometri]a omogućava nelinearno kvantitativno i kvalitativno proučavanje digitalnih korpusa. U ovom radu je s ciljem ilustrovanja mogućnosti tekstometrijskog pristupa u okviru TXM programskog okruženja izvršena analiza tekuće verzije srpELTeC korpusa, uz predstavljanje mogućnosti vizuelnog prikaza dobijenih rezultata
Keywords:
textometry / digital corpora / Serbian language / TXM / srpELTeC / tekstometri]a / digitalni korpusi / srpski jezik / TXM / srpELTeC
Source:
Infoteka, 2019, 19, 1, 30-54
Publisher:
  • Zajednica biblioteka univerziteta u Srbiji, Beograd
Funding / projects:
  • The author thanks to the COST Action 16204 - Distant Reading for European Literary History support, which made possible this research and the author's visit (STSM-CA16204-42562) to the IHRIM

DOI: 10.18485/infotheca.2019.19.1.2

ISSN: 1450-9687

[ Google Scholar ]
URI
https://smile.stomf.bg.ac.rs/handle/123456789/2409
Collections
  • Radovi istraživača
Institution/Community
Stomatološki fakultet
TY  - JOUR
AU  - Jaćimović, Jelena
PY  - 2019
UR  - https://smile.stomf.bg.ac.rs/handle/123456789/2409
AB  - Textometric approach has long been applied as a useful method for corpus analysis in various fields of humanities and social sciences. Textometry allows the non-linear quantitative and qualitative study of digital corpora, combining lexicometric and statistical research with developed corpus technologies. In this paper, the current version of the srpELTeC corpus was analyzed within the TXM program environment to illustrate the possibilities of the textometric approach and visual presentation of the obtained results.
AB  - Tekstometrijski pristup se već dugo primenjuje kao korisna metoda za analizu korpusa u različitim oblastima društveno-humanističkih nauka. Kombinu]ući leksikometri]ska i statistička istraživanja sa razvi]enim korpusnim tehnologijama, tekstometri]a omogućava nelinearno kvantitativno i kvalitativno proučavanje digitalnih korpusa. U ovom radu je s ciljem ilustrovanja mogućnosti tekstometrijskog pristupa u okviru TXM programskog okruženja izvršena analiza tekuće verzije srpELTeC korpusa, uz predstavljanje mogućnosti vizuelnog prikaza dobijenih rezultata
PB  - Zajednica biblioteka univerziteta u Srbiji, Beograd
T2  - Infoteka
T1  - Textometric methods and the TXM platform for corpus analysis and visual presentation
T1  - Tekstometrijske metode i TXM platforma za analizu i vizuelnu prezentaciju korpusa
VL  - 19
IS  - 1
SP  - 30
EP  - 54
DO  - 10.18485/infotheca.2019.19.1.2
ER  - 
@article{
author = "Jaćimović, Jelena",
year = "2019",
abstract = "Textometric approach has long been applied as a useful method for corpus analysis in various fields of humanities and social sciences. Textometry allows the non-linear quantitative and qualitative study of digital corpora, combining lexicometric and statistical research with developed corpus technologies. In this paper, the current version of the srpELTeC corpus was analyzed within the TXM program environment to illustrate the possibilities of the textometric approach and visual presentation of the obtained results., Tekstometrijski pristup se već dugo primenjuje kao korisna metoda za analizu korpusa u različitim oblastima društveno-humanističkih nauka. Kombinu]ući leksikometri]ska i statistička istraživanja sa razvi]enim korpusnim tehnologijama, tekstometri]a omogućava nelinearno kvantitativno i kvalitativno proučavanje digitalnih korpusa. U ovom radu je s ciljem ilustrovanja mogućnosti tekstometrijskog pristupa u okviru TXM programskog okruženja izvršena analiza tekuće verzije srpELTeC korpusa, uz predstavljanje mogućnosti vizuelnog prikaza dobijenih rezultata",
publisher = "Zajednica biblioteka univerziteta u Srbiji, Beograd",
journal = "Infoteka",
title = "Textometric methods and the TXM platform for corpus analysis and visual presentation, Tekstometrijske metode i TXM platforma za analizu i vizuelnu prezentaciju korpusa",
volume = "19",
number = "1",
pages = "30-54",
doi = "10.18485/infotheca.2019.19.1.2"
}
Jaćimović, J.. (2019). Textometric methods and the TXM platform for corpus analysis and visual presentation. in Infoteka
Zajednica biblioteka univerziteta u Srbiji, Beograd., 19(1), 30-54.
https://doi.org/10.18485/infotheca.2019.19.1.2
Jaćimović J. Textometric methods and the TXM platform for corpus analysis and visual presentation. in Infoteka. 2019;19(1):30-54.
doi:10.18485/infotheca.2019.19.1.2 .
Jaćimović, Jelena, "Textometric methods and the TXM platform for corpus analysis and visual presentation" in Infoteka, 19, no. 1 (2019):30-54,
https://doi.org/10.18485/infotheca.2019.19.1.2 . .

DSpace software copyright © 2002-2015  DuraSpace
About Smile – School of dental Medicine dIgitaL archivE | Send Feedback

OpenAIRERCUB
 

 

All of DSpaceCommunitiesAuthorsTitlesSubjectsThis institutionAuthorsTitlesSubjects

Statistics

View Usage Statistics

DSpace software copyright © 2002-2015  DuraSpace
About Smile – School of dental Medicine dIgitaL archivE | Send Feedback

OpenAIRERCUB