Abstract Grammatical Error Correction (GEC) is the task of automatically detecting and
correcting errors in text. The task not only includes the correction of grammatical errors, such …

The increasing use of AI chatbots as conversation partners for second-language learners
highlights the importance of providing effective feedback. To ensure a successful learning …

Classification of errors in language use plays a crucial role in language learning & teaching,
error analysis studies, and language technology development. However, there is no …

We present ARETA, an automatic error type annotation system for Modern Standard Arabic.
We design ARETA to address Arabic's morphological richness and orthographic ambiguity …

Writing is an important element of language learning, and an increasing amount of learner
writing is taking place in online environments. Teachers can provide valuable feedback by …

L1-L2 parallel dependency treebanks are UD-annotated corpora of learner sentences
paired with correction hypotheses. Automatic morphosyntactical annotation has the potential …

Dialogue systems have been used as conversation partners in English learning, but few
have studied whether these systems improve learning outcomes. Student passion and …

Dictation is considered an efficient exercise for testing the language proficiency of learners
of French as a Foreign Language (FFL). However, the traditional teaching approach to …

In Grammatical Error Correction, systems are evaluated by the number of errors they correct.
However, no one has assessed whether all error types are equally important. We provide …

Dictation is considered as an efficient practice for testing French as a Foreign Language
(FFL) learners' language proficiency. However, in-class dictation and teachers' manual …