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 feedback and more accurate and unbiased scoring that would otherwise be subject to examiners. In this paper, we propose an integrated system for automated writing evaluation with corrective feedback as a means of bridging the gap between AWE and GEC results for second language learners. This system enables language learners to simulate the essay writing tests: a student writes and submits an essay, and the system returns the assessment of the writing along with suggested grammatical error corrections. Given that automated scoring and grammatical correction are more efficient and cost-effective than human grading, this integrated system would also alleviate the burden of manually correcting innumerable essays.

翻译：在第二语言学习与教学中，技术应用已变得无处不在。具体到写作评估领域，自动写作评估（AWE）与语法错误纠正（GEC）已成为提升写作能力、为学习者提供即时个性化反馈的极为流行且有效的方法。通过利用自然语言处理（NLP）和机器学习算法，AWE与GEC系统被分别开发出来，为语言学习者提供自动纠正反馈，并提供比人工评分更准确、更公正的分数评定。本文提出一个集成化的自动写作评估与纠正反馈系统，旨在弥合AWE与GEC结果在第二语言学习者应用中的鸿沟。该系统使语言学习者能够模拟论文写作测试流程：学生撰写并提交作文后，系统将返回写作评估结果及针对性的语法错误纠正建议。鉴于自动评分与语法纠正相比人工评阅具有更高的效率和成本效益，该集成系统还将有效减轻教师手动批改大量作文的负担。