Automated Essay Scoring (AES) is a well-studied problem in Natural Language Processing applied in education. Solutions vary from handcrafted linguistic features to large Transformer-based models, implying a significant effort in feature extraction and model implementation. We introduce a novel Automated Machine Learning (AutoML) pipeline…

Automated Essay Scoring (AES) is a well-studied problem in Natural Language Processing applied in education. Solutions vary from handcrafted linguistic features to large Transformer-based models, implying a significant effort in feature extraction and model implementation. We introduce a novel Automated Machine Learning (AutoML) pipeline…

Second language learners constitute a significant and expanding portion of the global population and there is a growing demand for tools that facilitate language learning and instruction across various levels and in different countries. The development of large language models (LLMs) has brought about a significant impact on the domains of natural…

This dissertation uses the Conceptual Blending Hypothesis from the socio-cognitive method presented and refined by Kecskes (2002, 2004, 2007, 2010, 2020) to explain how the lexical choice of bilinguals differs across sociocultural situations. Quantitative (lexical density, lexical diversity, and lexical sophistication) and qualitative (lexical…

Second language (L2) learners notoriously have trouble using articles in their target languages (e.g., "a", "an", "the" in English). However, researchers disagree about the patterns and causes of these errors. Past studies have found that L2 English learners: (1) Predominantly omit articles (White 2003, Robertson 2000), (2) Overuse "the" (Huebner…