Recent years have seen increased interests in applying the latest technological innovations,
including artificial intelligence (AI) and machine learning (ML), to the field of education. One …

Abstract Language Learning Development (LangLearn) is the EVALITA 2023 shared task on
automatic language development assessment, which consists in predicting the evolution of …

Automatic essay scoring (AES) refers to the process of scoring free text responses to given
prompts, considering human grader scores as the gold standard. Writing such essays is an …

There are quite a few challenges in the development of an automated writing placement
model for non-native English learners, among them the fact that exams that encompass the …

The Common European Framework of Reference (CEFR) guidelines describe language
proficiency of learners on a scale of 6 levels. While the description of CEFR guidelines is …

The lack of a sufficient amount of data tailored for a task is a well-recognized problem for
many statistical NLP methods. In this paper, we explore whether data sparsity can be …

Automatically predicting the level of second language (L2) learner proficiency is an
emerging topic of interest and research based on machine learning approaches to language …

We present the results of our investigations aiming at identifying the most informative
linguistic complexity features for classifying language learning levels in three different …

This paper discusses machine learning techniques for the prediction of Common European
Framework of Reference (CEFR) levels in a learner corpus. We summarise the CAp …

In this paper we present first results for the task of Automated Essay Scoring for Norwegian
learner language. We analyze a number of properties of this task experimentally and assess …