@inproceedings{qorib-etal-2023-allecs,
title = "{ALLECS}: A Lightweight Language Error Correction System",
author = "Qorib, Muhammad Reza and
Moon, Geonsik and
Ng, Hwee Tou",
editor = "Croce, Danilo and
Soldaini, Luca",
booktitle = "Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations",
month = may,
year = "2023",
address = "Dubrovnik, Croatia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.eacl-demo.32",
doi = "10.18653/v1/2023.eacl-demo.32",
pages = "298--306",
abstract = "In this paper, we present ALLECS, a lightweight web application to serve grammatical error correction (GEC) systems so that they can be easily used by the general public. We design ALLECS to be accessible to as many users as possible, including users who have a slow Internet connection and who use mobile phones as their main devices to connect to the Internet. ALLECS provides three state-of-the-art base GEC systems using two approaches (sequence-to-sequence generation and sequence tagging), as well as two state-of-the-art GEC system combination methods using two approaches (edit-based and text-based). ALLECS can be accessed at \url{https://sterling8.d2.comp.nus.edu.sg/gec-demo/}",
}
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%0 Conference Proceedings
%T ALLECS: A Lightweight Language Error Correction System
%A Qorib, Muhammad Reza
%A Moon, Geonsik
%A Ng, Hwee Tou
%Y Croce, Danilo
%Y Soldaini, Luca
%S Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations
%D 2023
%8 May
%I Association for Computational Linguistics
%C Dubrovnik, Croatia
%F qorib-etal-2023-allecs
%X In this paper, we present ALLECS, a lightweight web application to serve grammatical error correction (GEC) systems so that they can be easily used by the general public. We design ALLECS to be accessible to as many users as possible, including users who have a slow Internet connection and who use mobile phones as their main devices to connect to the Internet. ALLECS provides three state-of-the-art base GEC systems using two approaches (sequence-to-sequence generation and sequence tagging), as well as two state-of-the-art GEC system combination methods using two approaches (edit-based and text-based). ALLECS can be accessed at https://sterling8.d2.comp.nus.edu.sg/gec-demo/
%R 10.18653/v1/2023.eacl-demo.32
%U https://aclanthology.org/2023.eacl-demo.32
%U https://doi.org/10.18653/v1/2023.eacl-demo.32
%P 298-306
Markdown (Informal)
[ALLECS: A Lightweight Language Error Correction System](https://aclanthology.org/2023.eacl-demo.32) (Qorib et al., EACL 2023)
ACL
- Muhammad Reza Qorib, Geonsik Moon, and Hwee Tou Ng. 2023. ALLECS: A Lightweight Language Error Correction System. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 298–306, Dubrovnik, Croatia. Association for Computational Linguistics.