This study discusses how textbook educational approaches concerning Le Châtelier's principle (LCP) may hinder student comprehension and prediction of chemical equilibrium disturbances. Firstly, after summarising students' LCP erroneous assertions/explanations, a categorisation of the potential barriers that may originate student misunderstandings…

While monolingual speakers can use contrastive pitch accents to predict upcoming referents, bilingual speakers do not always use this cue predictively in their L2. The current study examines the role of recent exposure for predictive processing in native German (L1) second language learners of English (L2). In Experiment 1, participants followed…

Negative sentences are hard to process when they are presented out of context. When embedded in a context of plausible denial their processing difficulty decreases or is completely eliminated. We investigated in six behavioral experiments whether the processing of negation is eased in a denial context triggered by discourse markers (e.g.…

Language production ultimately aims to convey meaning. Yet words differ widely in the richness and density of their semantic representations, and these differences impact conceptual and lexical processes during speech planning. Here, we replicated the recent finding that semantic richness, measured as the number of associated semantic features…

Experimental studies show that children have greater difficulty with "wh"-extraction from object position than subject position, arguably an intervention effect (e.g., Relativized Minimality). In this study we provide additional evidence of a S/O asymmetry in A'-dependencies from a novel source--sluicing. The results of our first…

Sentiment Analysis is a field of Natural Language Processing which aims at classifying the author's sentiment in text. This paper first describes a sentiment analysis model for students' comments about professor performance. The model achieved impressive results for comments collected from student surveys conducted at a private university in…

Automatic Speech Recognition (ASR) is a digital communication method that transforms spoken discourse into written text. This rapidly evolving technology is used in email, text messaging, or live video captioning. Current ASR systems operate in conjunction with Natural Language Processing (NLP) technology to transform speech into text that people…

Dialogue systems, commonly called as Chatbots, have gained escalating popularity in recent times due to their wide-spread applications in carrying out chit-chat conversations with users and accomplishing tasks as personal assistants. These systems are typically trained from manually-labeled data and/or written with handcrafted rules and often, use…

In writing studies research, automated writing evaluation technology is typically examined for a specific, often narrow purpose: to evaluate a particular writing improvement measure, to mine data for changes in writing performance, or to demonstrate the effectiveness of a single technology and accompanying validity arguments. This article adopts a…

This research explored the creative thinking, learning achievement, and engagement of students when they integrated the application of the personal audio classifier (PAC) into the competition of a computational thinking (CT) board game (i.e., the experimental group), or did not integrate it into the competition but only collaborated with peers to…

The present paper addresses the study of non-arbitrariness in language within a deep learning framework. We present a set of experiments aimed at assessing the pervasiveness of different forms of non-arbitrary phonological patterns across a set of typologically distant languages. Different sequence-processing neural networks are trained in a set…

In the online processing of long-distance wh-dependencies, native speakers have been found to make use of intermediate syntactic gaps, which has the effect of facilitating dependency resolution. This strategy has also been observed in second language (L2) speakers living in an L2 immersion context, but not in classroom L2 learners. This research…

Although translation may be considered the "sine qua non" of bilingual legislation, the perceived authenticity and equivalence of different language versions of the same law are contingent on the disavowal of translation. Yet precisely because of such disavowal, translated versions of law are paradoxically valorized as equal in meaning…

Children with autism spectrum disorders have been reported to be less influenced by a speaker's face during speech perception than those with typically development. To more closely examine these reported differences, a novel visual phonemic restoration paradigm was used to assess neural signatures (event-related potentials [ERPs]) of audiovisual…

Children's ability to learn words with multiple meanings may be hindered by their adherence to a one-to-one form-to-meaning mapping bias. Previous research on children's learning of a novel meaning for a familiar word (sometimes called a "pseudohomophone") has yielded mixed results, suggesting a range of factors that may impact when…