Automated essay scoring (AES) has become a valuable tool in educational settings, providing efficient and objective evaluations of student essays. However, the majority of AES systems have primarily focused on native English speakers, leaving a critical gap in the evaluation of non-native speakers' writing skills. This research addresses this gap…

The meaning of most words in language depends on their context. Understanding how the human brain extracts contextualized meaning, and identifying where in the brain this takes place, remain important scientific challenges. But technological and computational advances in neuroscience and artificial intelligence now provide unprecedented…

OpenCourseWare (OCW) and Massive Open Online Courses (MOOCs) have gained increasing popularity and importance because they greatly expand students' access to university lectures. Although the main component of OCW and MOOC platforms is lectures, their differences may potentially affect the difficulty of academic listening comprehension. This study…

Previous research on infant-directed speech (IDS) and its role in infants' language development has largely focused on mothers, with fathers being investigated scarcely. Here we examine the acoustics of IDS as compared to adult-directed speech (ADS) in Norwegian mothers and fathers to 8-month-old infants, and whether these relate to direct…

Purpose: Perceptual learning and production practice are basic mechanisms that children depend on to acquire adult levels of speech accuracy. In this study, we examined perceptual learning and production practice as they contributed to changes in speech accuracy in 3- and 4-year-old children. Our primary focus was manipulating the order of…

This study examines effects of memory load on the processing of scalar implicature via a dual-task paradigm using reading span and self-paced reading. Results indicate that participants showed online sensitivity to underinformative sentences (e.g., "Some birds have wings and beaks") at the end of the sentence. This online sensitivity…

In this commentary on the Special Issue, I will address the question of what memory spans measure concerning language, as language has, at least, a linear and a hierarchical dimension. I suggest that if anything what is measured has to do with the linear dimension. Then, I will discuss the welcome results on bilingual children with language…

In this commentary, I discuss why, despite the existence of gradience in phonetics and phonology, there is still a need for abstract representations. Most proponents of exemplar models assume multiple levels of abstraction, allowing for an integration of the gradient and the categorical. Ben Ambridge's dismissal of generative models such as…

As modern deep networks become more complex, and get closer to human-like capabilities in certain domains, the question arises as to how the representations and decision rules they learn compare to the ones in humans. In this work, we study representations of sentences in one such artificial system for natural language processing. We first present…

Automatic item generation can rapidly generate large volumes of exam items, but this creates challenges for assembly of exams which aim to include syntactically diverse items. First, we demonstrate a diminishing marginal syntactic return for automatic item generation using a saturation detection approach. This analysis can help users of automatic…

Recently, discovering learner behaviour has taken more attention in the field of e-learning. It aims to gain useful insights into the learning process of students despite the absence of direct interaction with teachers. In fact, the only available source of information in such environments is the log file that represents all possible interactions…

Text classification has allowed researchers to analyze natural language data at a previously impossible scale. However, a text classifier is only as valid as the the annotations on which it was trained. Further, the cost of training a classifier depends on annotators' ability to quickly and accurately apply the coding scheme to each text. Thus,…

This study investigated the impact of information density on English as a Foreign Language (EFL) listening comprehension, testing the hypothesis that listeners prioritize message understanding in information-rich discourse over grammar-focused analysis in rhetorical discourse. A quasi-experimental design was employed with 26 EFL college students,…

Background: When reading a word, skilled adult readers automatically decompose the word into its separate morphemes by processing the word's morpho-orthography. In children, however, it still remains unclear when and how they start to automatically decompose words into morphemes. Methods: To better understand how primary school children learn and…

Purpose: The aim of this study was to investigate children's processing of dysphonic speech in a realistic classroom setting, under the influence of added classroom noise. Method: Typically developing 6-year-old primary school children performed two listening tasks in their regular classrooms--a phoneme discrimination task to assess speech…