The objective of question generation from knowledge graphs (KGQG) is to create coherent and answerable questions from a given subgraph and a specified answer entity. KGQG has garnered significant attention due to its pivotal role in enhancing online education. Encoder-decoder architectures have advanced traditional KGQG approaches. However, these…

Artificial Intelligence (AI) powered translation influxes in the translation industry. Yet, questions have arisen about the quality of AI-powered translation systems (AIPTSs). Therefore, this study aims to evaluate the translation quality generated by ChatGPT for the Farewell Sermon. Using House's (2015) model of translation quality assessment…

Unfolding models are frequently used to develop scales for measuring attitudes. Recently, unfolding models have been applied to examine rater severity and accuracy within the context of rater-mediated assessments. One of the problems in applying unfolding models to rater-mediated assessments is that the substantive interpretations of the latent…

Although widely used, the true-false test is often regarded as a superficial or even harmful test, one that lacks the pedagogical efficacy of more substantive tests (e.g., cued-recall or short-answer tests). Such charges, however, lack conclusive evidence and may, in some cases, be false. Across four experiments, we investigated how true-false…

Background: Speech and language are interconnected systems, and language disorder often co-occurs with childhood apraxia of speech (CAS) and non-CAS speech sound disorders (SSDs). Potential trade-off effects between speech and language in connected speech in children without overt language disorder have been less explored. Method: Story retell…

Background: We examined linguistic features in fourth graders' narrative and opinion writing and their relations to writing quality. We analysed narrative and opinion essays in terms of lexical sophistication and diversity as well as syntactic complexity, syntactic accuracy, and morphological complexity. Methods: Data were from English-speaking…

The present study investigated the potential of writing in English as a foreign language (EFL) for language learning by manipulating cognitive task complexity based on related models and hypotheses. English essays written by 59 Chinese postgraduate EFL students from different subject areas were analysed with reference to writing complexity,…

Background: We examined linguistic features in fourth graders' narrative and opinion writing and their relations to writing quality. We analysed narrative and opinion essays in terms of lexical sophistication and diversity as well as syntactic complexity, syntactic accuracy, and morphological complexity. Methods: Data were from English-speaking…

Purpose: This tutorial outlines an approach for best practices for speech-language pathology assistants (SLPAs) to collect data and document services. The tutorial outlines methods for developing accurate and effective data collection skills and provides instructions and tools for collecting various types of data. The authors discuss the…

Children often interpret first noun phrases (NP1s) as agents, which improves comprehension of actives but hinders passives. While children sometimes withhold the agent-first bias, the reasons remain unclear. The current study tests the hypothesis that children default to the agent-first bias as a "best guess" of role assignment when they…

The rise of online programming education has necessitated more effective personalized interactions, a gap that PythonPal aims to fill through its innovative learning system integrated with a chatbot. This research delves into PythonPal's potential to enhance the online learning experience, especially in contexts with high student-to-teacher ratios…

Autograding short textual answers has become much more feasible due to the rise of NLP and the increased availability of question-answer pairs brought about by a shift to online education. Autograding performance is still inferior to human grading. The statistical and black-box nature of state-of-the-art machine learning models makes them…

Purpose: Measures of grammatical accuracy are effective measures of children's language skills. However, many measures, such as percent grammatical utterances, were developed for children who speak General American English (GAE) and, therefore, may not be appropriate for students who speak other dialects. This study examines different scoring…

Purpose: A major barrier to the wider use of language sample analysis (LSA) is the fact that transcription is very time intensive. Methods that can reduce the required time and effort could help in promoting the use of LSA for clinical practice and research. Method: This article describes an automated pipeline, called Batchalign, that takes raw…

The study tested how the Recency Preference and Predicate Proximity model (Gibson et al. in Cognition 59(1):23-59, 1996, https://doi.org/10.1016/0010-0277(88)90004-2) plays out by examining the attachment preferences of native Russian speakers when processing locally ambiguous participial relative clause sentences with three potential NP…