Background: Verbal fluency tasks are routinely used in clinical assessment and research studies of aphasia. People with aphasia produce fewer items in verbal fluency tasks. It remains unclear if their output is limited solely by their lexical difficulties and/or has a basis in their executive control abilities. Recent research has illustrated that…

Antilocality effects provide strong evidence for expectation-based sentence parsing models. Previous discussion of the antilocality effect, however, largely focused on the argument-verb dependencies in verb-final constructions, for which a memory retrieval-based account has been argued to be equally adequate. To test whether the principles of…

Subject-verb agreement errors are common in sentence production. Many studies have used experimental paradigms targeting the production of subject-verb agreement from a sentence preamble ("The key to the cabinets") and eliciting verb errors (… "*were shiny"). Through reanalysis of previous data (50 experiments; 102,369…

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…

Purpose: Core lexicon measures have received growing attention in research. They are intended to provide clinicians with a clinician-friendly means to quantify word retrieval ability in discourse based on normal expectations of discourse production for specific discourse elicitation tasks. To date, different criteria have been used to develop core…

This paper aims to explore the kinds of clinical language expressions practiced by Indonesian counsellors. This qualitative study applies purpose sampling of 17 key participants who are counsellors. The data for this study are taken from semi-structured interviews. The semi-structured interviews allow the flexibility of the researchers to prompt…

Feedback is a crucial component of student learning. As advancements in technology have enabled the adoption of digital learning environments with assessment capabilities, the frequency, delivery format, and timeliness of feedback derived from educational assessments have also changed progressively. Advanced technologies powered by Artificial…

A model that maps the requisite skills, or knowledge components, to the contents of an online course is necessary to implement many adaptive learning technologies. However, developing a skill model and tagging courseware contents with individual skills can be expensive and error prone. We propose a technology to automatically identify latent…

Purpose: This study examined the extent to which prelingual cochlear implant (CI) users show a slowed speaking rate compared with typical-hearing (TH) talkers when repeating various speech stimuli and whether the slowed speech of CI users relates to their immediate verbal memory. Method: Participants included 10 prelingually deaf teenagers who…

The present study investigates how L2 learners adapt their production preferences following immediate and cumulative experience with a syntactic structure when an L2 structure differs from an L1 structure in terms of verb subcategorization frame and argument structure. Korean learners of English described causative events in English in a…

The spoken word production process includes four identifiable stages: conceptualization, lexical selection, form encoding, and articulation. This dissertation studies the spoken word production process of producing Mandarin monosyllabic words, focusing on lexical selection and form encoding. The Chinese languages, including Mandarin, differ from…

Ambridge calls for exemplar-based accounts of language acquisition. Do modern neural networks such as transformers or word2vec -- which have been extremely successful in modern natural language processing (NLP) applications -- count? Although these models often have ample parametric complexity to store exemplars from their training data, they also…

Machine learning algorithms that automatically score scientific explanations can be used to measure students' conceptual understanding, identify gaps in their reasoning, and provide them with timely and individualized feedback. This paper presents the results of a study that uses Hebrew NLP to automatically score student explanations in Biology…

Second language implicit learning research has shown that a variety of linguistic features can be acquired without awareness. However, this research overwhelmingly uses comprehension tests to measure implicit learning. It remains unclear whether newly acquired implicit knowledge can also be recruited for production. To address this question, we…

Lexical access is highly contextual. For example, vowel (rime) information is prioritized over tone in the lexical access of isolated words in Mandarin Chinese, but these roles are flipped in constraining contexts. The time course of these contextual effects remains unclear, and so here we tracked the real-time eye gaze of native Mandarin speakers…