CheckMate: English grammatical error correction for native Turkish speakers

Name: CheckMate: English grammatical error correction for native Turkish speakers
Author: Ersoy, Asım, Savlak, O., Kart, C., Yıldız, Olcay Taner

İsim	CheckMate: English grammatical error correction for native Turkish speakers
Yazar	Ersoy, Asım, Savlak, O., Kart, C., Yıldız, Olcay Taner
Basım Tarihi:	2023
Basım Yeri	- IEEE
Konu	Data collection, Data labeling, Deep learning, Grammatical error correction
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	979-835034355-7
Kayıt Numarası	21a80a17-d8b5-4b0f-825d-2948828e10b3
Lokasyon	Computer Science
Tarih	2023
Örnek Metin	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

Kaynağa git Özyeğin Üniversitesi

Aramaya Dön

Özyeğin Üniversitesi

Kaynağa git

CheckMate: English grammatical error correction for native Turkish speakers

Yazar Ersoy, Asım, Savlak, O., Kart, C., Yıldız, Olcay Taner

Basım Tarihi 2023

Basım Yeri - IEEE

Konu Data collection, Data labeling, Deep learning, Grammatical error correction

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 979-835034355-7

Kayıt Numarası 21a80a17-d8b5-4b0f-825d-2948828e10b3

Lokasyon Computer Science

Tarih 2023

Örnek Metin 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