Towards standardizing Korean grammatical error correction: Datasets and annotation

S Yoon, S Park, G Kim, J Cho, K Park, G Kim… - arXiv preprint arXiv …, 2022 - arxiv.org
Research on Korean grammatical error correction (GEC) is limited, compared to other major
languages such as English. We attribute this problematic circumstance to the lack of a …

Towards automatic grammatical error type classification for Turkish

H Uz, G Eryiğit - Proceedings of the 17th Conference of the …, 2023 - aclanthology.org
Automatic error type classification is an important process in both learner corpora creation
and evaluation of large-scale grammatical error correction systems. Rule-based classifier …

Probing the Category of Verbal Aspect in Transformer Language Models

A Katinskaia, R Yangarber - arXiv preprint arXiv:2406.02335, 2024 - arxiv.org
We investigate how pretrained language models (PLM) encode the grammatical category of
verbal aspect in Russian. Encoding of aspect in transformer LMs has not been studied …

Russian Learner Corpus: Towards Error-Cause Annotation for L2 Russian

D Kosakin, S Obiedkov, I Smirnov… - Proceedings of the …, 2024 - aclanthology.org
Abstract Russian Learner Corpus (RLC) is a large collection of learner texts in Russian
written by native speakers of over forty languages. Learner errors in part of the corpus are …

Creation of an electronic learner corpus of French as a foreign language

O Tsaknaki - Taikomoji kalbotyra, 2023 - zurnalai.vu.lt
According to research findings, learner corpora can have many functions in the field of
Applied Linguistics. This was the thinking behind the creation of the KPG Learner Corpus of …