This paper focuses on automatically assessing language proficiency levels according to
linguistic complexity in learner English. We implement a supervised learning approach as …

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 …

Mastering a foreign language like English can bring better opportunities. In this context,
although multiword expressions (MWE) are associated with proficiency, they are usually …

The growing demand for learning English as a second language has led to an increasing
interest in automatic approaches for assessing spoken language proficiency. One of the …

In an interconnected world where English has become the lingua franca of culture,
entertainment, business, and academia, the growing demand for learning English as a …

In this survey we systematize the state-of-the-art features that are used to model texts for text
classification tasks: topical and sentiment classification, authorship attribution, style …

The study reports on the results of a corpus-based evaluation of automatically extracted
syntactic complexity measures as indices of Russian as a foreign language (FL) and …

In this paper, we investigate the question of how much domain adaptation is needed for the
task of automatic essay assessment by freezing layers in BERT models. We test our …

The Common European Framework of Reference for Languages or often abbreviated as
CEFR is an international standard that is currently used globally to measure language …

In an increasingly interconnected world where English has become the lingua franca of
business, culture, entertainment, and academia, learners of English as a second language …