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）与语法纠错（GEC）已成为提升写作水平、向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）和机器学习算法的强大功能，AWE与GEC系统已分别开发出来，旨在为语言学习者提供自动化纠错反馈以及比人工评分更准确、更公正的评分结果。本文提出一种集成化自动写作评估与纠错反馈系统，以弥合AWE与GEC在第二语言学习者应用中的结果差异。该系统使语言学习者能够模拟论文写作测试流程：学生撰写并提交一篇作文，系统随即返回写作评估结果及建议的语法错误修正。考虑到自动评分与语法纠错比人工评阅更高效且成本更低，该集成系统还能减轻手动批改海量作文的负担。