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

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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

Authors

Publications

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

Jaćimović, Jelena

(Zajednica biblioteka univerziteta u Srbiji, Beograd, 2019)

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 . .