The objective of this article is to present an automatic tool for detecting and
classifying grammatical errors in written language as well as to describe the
evaluation protocol we have carried out to measure its performance on learner
corpora. The tool was designed to detect and analyse the linguistic errors found
in text essays, assess the writing proficiency, and propose solutions with the aim
of improving the linguistic skills of students. It makes use of natural language
processing and knowledge-rich linguistic resources. So far, the tool has been
implemented for the Galician language. The system has been evaluated on two
learner corpora reaching 91% precision and 65% recall (76% F-score) for the
task of detecting different types of grammatical errors, including spelling, lexical
and syntactic ones.
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Nuñez Cortés, Juan Antonio & Iria Da Cunha Fanego
2022. El impacto del uso de herramientas automáticas de ayuda a la redacción en el proceso de escritura de estudiantes universitarios. Círculo de Lingüística Aplicada a la Comunicación 89 ► pp. 131 ff.
Zhang, Fuzhuang, Lan Yu, Jun Shen & Muhammad Arif
2022. Automatic Scoring of English Essays Based on Machine Learning Technology in a Wireless Network Environment. Security and Communication Networks 2022 ► pp. 1 ff.
[no author supplied]
2023. ,
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