This article discusses the English-to-Thai translations of two contemporary novels: "Room" by Emma Donoghue and "The Boy in the Striped Pyjamas" by John Boyne. These two selected texts present some linguistic challenges to the translators because of the narrations which are meant to reveal the innocent perspectives of young…

"Little" words often carry complex meanings. Pronoun resolution is an essential component of comprehension. Skilled readers work to maintain text cohesion (i.e., they resolve the pronouns as needed.) Less proficient readers often are not as proficient in resolving pronouns. Limited pronoun resolution limits comprehension. This article…

We performed three experiments to investigate whether adjectives can modulate the sensorimotor activation elicited by nouns. In Experiment 1, nouns of graspable objects were used as stimuli. Participants had to decide if each noun referred to a natural or artifact, by performing either a precision or a power reach-to-grasp movement. Response grasp…

The disambiguation of a syntactically ambiguous sentence in favor of a less preferred parse can lead to slower reading at the disambiguation point. This phenomenon, referred to as a garden-path effect, has motivated models in which readers initially maintain only a subset of the possible parses of the sentence, and subsequently require…

Reduced forms such as the pronoun "he" provide little information about their intended meaning compared to more elaborate descriptions such as "the lead singer of Coldplay." Listeners must therefore use contextual information to recover their meaning. Across languages, there appears to be a trade-off between the informativity…

In this study, we use temporally aligned word embeddings and a large diachronic corpus of English to quantify language change in a data-driven, scalable way, which is grounded in language use. We show a unique and reliable relation between measures of language change and age of acquisition ("AoA") while controlling for frequency,…

This article explores the relationship between low- and high-level aspects of reading by studying the interplay between word processing, as measured with eye tracking, and narrative absorption and liking, as measured with questionnaires. Specifically, we focused on how individual differences in sensitivity to lexical word characteristics--measured…

This article introduces a novel, holistic framework--named Dr. Mosaik--that encompasses explanations of the entire tense-aspect system, while highlighting eight comprehensive rules that explain the main workings of the system. In turn, this provides a limited number of "anchor points" on which to time-efficiently address instruction and…

In six experiments, we tested whether immediate serial recall is influenced by a word's degree centrality, an index of lexical connectivity. Words of high degree centrality are associated with more words in free association norms than those of low degree centrality. Experiment 1 analyzed secondary data to explore the effect of degree centrality in…

A Computer-Assisted Language Learning (CALL) application, TextMix, was developed as a proof-of-concept for applying Natural Language Processing (NLP) sentence chunking techniques to creating 'sentence scramble' learning tasks. TextMix addresses limitations of existing applications for creating sentence scrambles by using NLP to parse and scramble…

When a subject NP has a singular head noun and a plural noun in some lower syntactic phrase (i.e. local noun), occasionally a plural verb will be produced in a sentence (i.e., agreement attraction) (Bock 1991,Bock et al. 2001). Evidence from production (Eberhard 2005) and comprehension (Badecker 2007, Wagers 2009) studies have conflicting accounts…

This meta-analysis evaluated the effectiveness of data-driven learning (DDL) among low-proficiency L2 English learners, addressing the mixed results found in previous meta-analyses. The study incorporated 38 studies involving 2085 participants, yielding 37 effect sizes from control-experimental (C/E) studies and 42 from pre- and post-test (P/P)…

AI is changing the way writing is learnt at university and taught in schools. Different institutions hence call for integrating programs on writing with AI in teacher education. These must be based on the needs of the participants, which are, however, still unexplored. This article fills this gap with findings from a February 2024 questionnaire…

With the introduction of artificial intelligence (AI), particularly Generative AI (GenAI) to school settings, teachers are likely to be drawn into professional learning scenarios where they will be expected to learn how to use programs and applications for remediation and tutoring of children. Previous research highlights how professional learning…

Human-Machine Interaction (HMI) technology has revolutionized the landscape of oral English education, offering new possibilities for improving learning efficiency and experiences. This paper presents an innovative teaching system that integrates real-time speech recognition and feedback capabilities with advanced natural language processing (NLP)…