Feb. 28, 2024, 5:49 a.m. | Izia Xiaoxiao Wang, Xihan Wu, Edith Coates, Min Zeng, Jiexin Kuang, Siliang Liu, Mengyang Qiu, Jungyeul Park

cs.CL updates on arXiv.org arxiv.org

arXiv:2402.17613v1 Announce Type: new
Abstract: The utilization of technology in second language learning and teaching has become ubiquitous. For the assessment of writing specifically, automated writing evaluation (AWE) and grammatical error correction (GEC) have become immensely popular and effective methods for enhancing writing proficiency and delivering instant and individualized feedback to learners. By leveraging the power of natural language processing (NLP) and machine learning algorithms, AWE and GEC systems have been developed separately to provide language learners with automated corrective …

abstract arxiv assessment automated become cs.cl error error correction evaluation feedback gec instant language popular teaching technology type writing

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