Author
Ersoy, Asım, Savlak, O., Kart, C., Yıldız, Olcay Taner
Publication Date
2023
Publication Place
-
IEEE
Subject
Data collection, Data labeling, Deep learning, Grammatical error correction
Type
Document
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
979-835034355-7
Record ID
21a80a17-d8b5-4b0f-825d-2948828e10b3
Library Location
Computer Science
Date
2023
Sample Text
The covid-19 outbreak left many countries have no choice but turn to online education. Turkish students, who were among those who were affected, faced difficulties in improving their English as the opportunity to have face-to-face feedback was not available. In this work, we build and open-source a dataset for grammatical error correction composed of essays written by Turkish students from different universities capturing the errors Turkish native speakers tend to make. We utilize the dataset and build a model, which we deploy along with a web interface.
DOI
10.1109/SIU59756.2023.10223761
