In the academic and professional world, language is essential to carry out tasks and communicate results. However, errors in expression, such as incorrect grammar or inappropriate register, are common even among native speakers. To support writing, artificial intelligence, especially generative artificial intelligence, can help identify errors and provide personalized, timely support. While artificial intelligence has been widely applied in education, its use in linguistic education remains limited. These applications are more complex because linguistic rules tend to be flexible. Moreover, current solutions often rely on natural language processing but do not consider linguistic rules or provide limited feedback and analysis. In this context, PALABRIA-CM project is developed to improve students’ skills and written Spanish by combining artificial intelligence with linguistic rules. This article analyzes challenges and opportunities of using generative artificial intelligence to improve writing, and presents an overview of the project, including objectives, methodology, work plan, and expected outcomes This work was funded by Comunidad de Madrid through the grant agreement for the promotion of research and technology transfer at Universidad Carlos III de Madrid (PALABRIA-CM-UC3M).
Moreno-Marcos et al. (Fri,) studied this question.