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…

The ability to objectively quantify the complexity of a text can be a useful indicator of how likely learners of a given level will comprehend it. Before creating more complex models of assessing text difficulty, the basic building block of a text consists of words and, inherently, its overall difficulty is greatly influenced by the complexity of…

Numerous approaches have been introduced to automate the process of text summarization, but only few can be easily adapted to multiple languages. This paper introduces a multilingual text processing pipeline integrated in the open-source "ReaderBench" framework, which can be retrofit to cover more than 50 languages. While considering the…

In the current study, we investigated the role of executive functions in explaining how word recognition and language comprehension jointly predict reading comprehension in multilingual and monolingual students (Grades 1 and 2). Specifically, mediation and moderation models were tested and compared to offer a more nuanced understanding of the role…

Infants appear to progress from universal to language-specific event perception. In Japanese, two different verbs describe a person crossing a "bounded ground" (e.g., street) versus an unbounded ground (e.g., field) while in English, the same verb -- "crossing" -- describes both events. Interestingly, Japanese "and"…

Early language competence is a reliable and powerful predictor of children's success in school, and word gaps linked to socioeconomic status disparities have cascading effects on academic outcomes. While early research -- such as the work of Hart and Risley (1995) -- focused on gaps in vocabulary, growing evidence reveals wide gaps in syntax as…

Previous studies offer mixed evidence regarding whether a unified model of reading comprehension predictors applies to Dual Language Learners (DLLs) and English Speakers (ESs), or whether distinctive models across language groups are empirically supported. The present study adds another dimension to this body of work by examining multiple reading…

Better understanding of the mechanisms underlying early reading skills can lead to improved interventions. Hence, the purpose of this study was to examine multivariate associations among reading, language, spoken phonological awareness, and fingerspelling abilities for three groups of deaf and hard-of-hearing (DHH) beginning readers: those who…