Automatic Generation of Corpus-Based Exercises Using Generative AI

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11210%2F25%3A10507804" target="_blank" >RIV/00216208:11210/25:10507804 - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2025.rocling-main.9/" target="_blank" >https://aclanthology.org/2025.rocling-main.9/</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Automatic Generation of Corpus-Based Exercises Using Generative AI
Original language description
This study explores the automatic generation of corpus-based language exercises using a generative AI model Corpus Linguist. It focuses on the interaction between the language model and corpus data, detailing a workflow in which collocation and translation patterns are extracted from a tagged corpus and structured prompts are constructed to guide the model in producing sentence-level exercises. The generated exercises reveal both the potential and the current limitations of AI-driven approaches. Challenges include inconsistency in corpus data use, and choosing appropriate translation equivalents. These observations highlight the necessity of careful design and critical evaluation when integrating generative models with corpus-based language materials. By analysing these processes from a computational linguistics perspective, this study contributes to understanding how generative AI can interact with structured linguistic data, informing future applications in automated language resources.
Czech name
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Czech description
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Project
<a href="/en/project/EH23_025%2F0008691" target="_blank" >EH23_025/0008691: Human-centred AI for a Sustainable and Adaptive Society</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 37th Conference on Computational Linguistics and Speech Processing (ROCLING 2025)
ISBN
979-8-89176-379-1
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
80-86
Publisher name
Association for Computational Linguistics
Place of publication
National Taiwan University, Taipei City, Taiwan
Event location
National Taiwan University, Taipei City, Taiwan
Event date
Nov 20, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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