Title: GECTurk: Grammatical Error Correction and Detection Dataset for Turkish
Abstract: https://arxiv.org/abs/2309.11346
Grammatical Error Detection and Correction (GEC) tools have proven useful for native speakers and second language learners. Developing such tools requires a large amount of parallel, annotated data, which is unavailable for most languages. Synthetic data generation is a common practice to overcome the scarcity of such data. However, it is not straightforward for morphologically rich languages like Turkish due to complex writing rules that require phonological, morphological, and syntactic information. In this work, we present a flexible and extensible synthetic data generation pipeline for Turkish covering more than 20 expert-curated grammar and spelling rules (a.k.a., writing rules) implemented through complex transformation functions. Using this pipeline, we derive 130,000 high-quality parallel sentences from professionally edited articles. Additionally, we create a more realistic test set by manually annotating a set of movie reviews. We implement three baselines formulating the task as i) neural machine translation, ii) sequence tagging, and iii) prefix tuning with a pretrained decoder-only model, achieving strong results. Furthermore, we perform exhaustive experiments on out-of-domain datasets to gain insights on the transferability and robustness of the proposed approaches. Our results suggest that our corpus, GECTurk, is high-quality and allows knowledge transfer for the out-of-domain setting. To encourage further research on Turkish GEC, we release our datasets, baseline models, and the synthetic data generation pipeline at the following URL:
Homepage: https://github.com/GGLAB-KU/gecturk
@inproceedings{kara-etal-2023-gecturk,
title = "{GECT}urk: Grammatical Error Correction and Detection Dataset for {T}urkish",
author = {Kara, Atakan and
Marouf Sofian, Farrin and
Bond, Andrew and
{\c{S}}ahin, G{\"o}zde},
editor = "Park, Jong C. and
Arase, Yuki and
Hu, Baotian and
Lu, Wei and
Wijaya, Derry and
Purwarianti, Ayu and
Krisnadhi, Adila Alfa",
booktitle = "Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings)",
month = nov,
year = "2023",
address = "Nusa Dua, Bali",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.findings-ijcnlp.26",
doi = "10.18653/v1/2023.findings-ijcnlp.26",
pages = "278--290",
}