Corpus Tools in Language for Specific Purposes:
Technology-Enhanced Learning and Emerging AI Support

C 2025

Corpus Tools in Language for Specific Purposes: Technology-Enhanced Learning and Emerging AI Support

HELÁN, Robert a Kateřina POŘÍZKOVÁ

Základní údaje

Originální název

Corpus Tools in Language for Specific Purposes: Technology-Enhanced Learning and Emerging AI Support

Autoři

HELÁN, Robert a Kateřina POŘÍZKOVÁ

Vydání

Praha, Holcner, V. et al. Current Challenges of Language Education in Contemporary Security Environment, od s. 104-111, 8 s. 2025

Nakladatel

powerprint s.r.o. - Bookla

Další údaje

Jazyk

angličtina

Typ výsledku

Kapitola resp. kapitoly v odborné knize

Obor

60203 Linguistics

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Označené pro přenos do RIV

Ano

Organizační jednotka

Centrum jazykového vzdělávání

ISBN

978-80-7705-028-9

Klíčová slova anglicky

Corpus Linguistics; Language for Specific Purposes; Data-Driven Learning; Artificial Intelligence

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 19. 1. 2026 08:16, Mgr. Kateřina Pořízková, Ph.D.

Anotace

V originále

Corpus linguistics has become a key approach in second language acquisition, providing systematic access to authentic data and revealing patterns that inform teaching and learning. Through functions such as frequency analysis, concordancing, and collocation studies, learners gain insights into real usage while teachers design materials anchored in evidence. Data-driven learning (DDL) encourages autonomy and discovery, though its uptake is often limited by the technical demands of corpus interfaces and the need for digital literacy. Recent advances in generative AI have introduced new opportunities, offering user-friendly interaction with language data but raising concerns about reliability and transparency. Against this backdrop, two tools illustrate different directions of development. VersaText, a traditional corpus tool, enables the exploration of genre-specific features through clear visualizations and profiles, helping learners identify how disciplinary writing is structured. CorpusChat, by contrast, represents a hybrid innovation, integrating corpus evidence with AI to allow natural language queries supported by authentic data and explanatory summaries.

Citovat

HELÁN, Robert a Kateřina POŘÍZKOVÁ. Corpus Tools in Language for Specific Purposes: Technology-Enhanced Learning and Emerging AI Support. In Holcner, V. et al. Current Challenges of Language Education in Contemporary Security Environment. Praha: powerprint s.r.o. - Bookla, 2025, s. 104-111. ISBN 978-80-7705-028-9.

@inbook{2548017,
   author = {Helán, Robert and Pořízková, Kateřina},
   address = {Praha},
   booktitle = {Holcner, V. et al. Current Challenges of Language Education in Contemporary Security Environment},
   keywords = {Corpus Linguistics; Language for Specific Purposes; Data-Driven Learning; Artificial Intelligence},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Praha},
   isbn = {978-80-7705-028-9},
   pages = {104-111},
   publisher = {powerprint s.r.o. - Bookla},
   title = {Corpus Tools in Language for Specific Purposes: Technology-Enhanced Learning and Emerging AI Support},
   year = {2025}
}

TY  - CHAP
ID  - 2548017
AU  - Helán, Robert - Pořízková, Kateřina
PY  - 2025
TI  - Corpus Tools in Language for Specific Purposes: Technology-Enhanced Learning and Emerging AI Support
VL  - Neuveden
PB  - powerprint s.r.o. - Bookla
CY  - Praha
SN  - 9788077050289
KW  - Corpus Linguistics
KW  - Language for Specific Purposes
KW  - Data-Driven Learning
KW  - Artificial Intelligence
N2  - Corpus linguistics has become a key approach in second language acquisition, providing systematic access to authentic data and revealing patterns that inform teaching and learning. Through functions such as frequency analysis, concordancing, and collocation studies, learners gain insights into real usage while teachers design materials anchored in evidence. Data-driven learning (DDL) encourages autonomy and discovery, though its uptake is often limited by the technical demands of corpus interfaces and the need for digital literacy. Recent advances in generative AI have introduced new opportunities, offering user-friendly interaction with language data but raising concerns about reliability and transparency. Against this backdrop, two tools illustrate different directions of development. VersaText, a traditional corpus tool, enables the exploration of genre-specific features through clear visualizations and profiles, helping learners identify how disciplinary writing is structured. CorpusChat, by contrast, represents a hybrid innovation, integrating corpus evidence with AI to allow natural language queries supported by authentic data and explanatory summaries.
ER  -

HELÁN, Robert a Kateřina POŘÍZKOVÁ. Corpus Tools in Language for Specific Purposes: Technology-Enhanced Learning and Emerging AI Support. In \textit{Holcner, V. et al. Current Challenges of Language Education in Contemporary Security Environment}. Praha: powerprint s.r.o. - Bookla, 2025, s.~104-111. ISBN~978-80-7705-028-9.

Přehled o publikaci