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Pack, Austin; Maloney, Jeffrey – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2023
Progress made in Natural Language Processing (NLP) and Artificial Intelligence (AI) in recent years has resulted in these tools becoming more accessible for individuals who lack professional training. Of particular note are large language models, such as OpenAI's GPT-3.5. Discussions of utilizing AI for language education usually focus on the…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Second Language Learning
Ardeshir Geranpayeh – Language Teaching Research Quarterly, 2023
The recent surge in the popularity of Large Language Models (LLM) for language assessment underscores the growing significance of cost-effective language evaluation in our increasingly digitalized society. This paper posits that the application of computational psychometrics can enable the incorporation of technology into language assessment,…
Descriptors: Computational Linguistics, Psychometrics, Second Language Learning, Second Language Instruction
Carolyn Baker; Tracy Love – Journal of Speech, Language, and Hearing Research, 2023
Purpose: Lexical processing impairments such as delayed and reduced activation of lexical-semantic information have been linked to syntactic processing disruptions and sentence comprehension deficits in individuals with aphasia (IWAs). Lexical-level deficits can also preclude successful lexical encoding during sentence processing and amplify the…
Descriptors: Aphasia, Semantics, Networks, Language Processing
Mohsen Dolatabadi – Australian Journal of Applied Linguistics, 2023
Many datasets resulting from participant ratings for word norms and also concreteness ratios are available. However, the concreteness information of infrequent words and non-words is rare. This work aims to propose a model for estimating the concreteness of infrequent and new lexicons. Here, we used Lancaster sensory-motor word norms to predict…
Descriptors: Prediction, Validity, Models, Computational Linguistics
Ruth Caputo – ProQuest LLC, 2023
Understanding speech in an accent or dialect different than one's own can be challenging. McLaughlin and Van Engen (2020) were the first to quantify this increase in listening effort using Task Evoked Pupillary Response (TEPR), a common measure of cognitive arousal. They found that monolingual, English speaking adults' pupils dilated more quickly…
Descriptors: Dialects, Pronunciation, Children, Adults
Nick Henry – Studies in Second Language Acquisition, 2023
Research on input processing and processing instruction has often employed a scoring method known as trials to criterion to observe the effects of instruction that emerge during training. Despite its common use in this research (see Fernández, 2021) this metric has never been evaluated critically. The present study first discusses several…
Descriptors: Second Language Learning, Language Research, Linguistic Input, Language Processing
Timothy C. Papadopoulos – International Journal for Research in Learning Disabilities, 2023
The Conference at the University of Oviedo, Spain, within the 44th Annual Meeting of the International Academy for Research in Learning Disabilities, was an excellent opportunity to share knowledge, explore perspectives and reflect on the study of neurodevelopmental disorders in Europe and elsewhere in the world. The William M. Cruickshank…
Descriptors: Neurodevelopmental Disorders, Learning Disabilities, Foreign Countries, Speeches
Tuyuan Cheng – Journal of Psycholinguistic Research, 2023
The relationship between working memory (WM) and language processing has been extensively investigated in cognitive research. Previous studies mostly obtain evidence from measuring the involvement of WM in complex syntactic structures reported with well-established processing asymmetry, e.g., relative clauses (RCs) in English. Rarely considered is…
Descriptors: Memory, Interference (Learning), Short Term Memory, Language Processing
Chen, Zhong; Hale, John T. – Cognitive Science, 2021
Information-theoretic complexity metrics, such as Surprisal (Hale, 2001; Levy, 2008) and Entropy Reduction (Hale, 2003), are linking hypotheses that bridge theorized expectations about sentences and observed processing difficulty in comprehension. These expectations can be viewed as syntactic derivations constrained by a grammar. However, this…
Descriptors: Sentences, Language Processing, Phrase Structure, Nouns
Baldwin, Peter; Yaneva, Victoria; Mee, Janet; Clauser, Brian E.; Ha, Le An – Journal of Educational Measurement, 2021
In this article, it is shown how item text can be represented by (a) 113 features quantifying the text's linguistic characteristics, (b) 16 measures of the extent to which an information-retrieval-based automatic question-answering system finds an item challenging, and (c) through dense word representations (word embeddings). Using a random…
Descriptors: Natural Language Processing, Prediction, Item Response Theory, Reaction Time
Li, Jiangtian; Joanisse, Marc F. – Cognitive Science, 2021
Most words in natural languages are polysemous; that is, they have related but different meanings in different contexts. This one-to-many mapping of form to meaning presents a challenge to understanding how word meanings are learned, represented, and processed. Previous work has focused on solutions in which multiple static semantic…
Descriptors: Computational Linguistics, Semantics, Ambiguity (Semantics), Language Processing
Zhao, Licui; Yasunaga, Daichi; Kojima, Haruyuki – Journal of Psycholinguistic Research, 2021
The present study reported an experiment examining whether both native speakers (NSs) and non-native speakers (NNSs) give formulaic sequences (FSs) priority over novel phrases in processing, as the dual route model has postulated. In this experiment, NSs and NNSs were asked to read Japanese versions of semi-transparent restricted collocations…
Descriptors: Native Speakers, Novelty (Stimulus Dimension), Language Processing, Japanese
Kenanidis, Panagiotis; Chondrogianni, Vicky; Legendre, Géraldine; Culbertson, Jennifer – Journal of Child Language, 2021
Previous studies across languages (English, Spanish, French) have argued that perceptual salience and cue reliability can explain cross-linguistic differences in early comprehension of verbal agreement. Here we tested this hypothesis further by investigating early comprehension in Greek, where markers have high salience and reliability (compared…
Descriptors: Greek, Comprehension, Cues, Child Language
Roy, Abhik; Rambo-Hernandez, Karen E. – American Journal of Evaluation, 2021
Evaluators often find themselves in situations where resources to conduct thorough evaluations are limited. In this paper, we present a familiar instance where there is an overwhelming amount of open text to be analyzed under the constraints of time and personnel. In instances when timely feedback is important, the data are plentiful, and answers…
Descriptors: Artificial Intelligence, Engineering Education, Natural Language Processing, College Students
Woodruff Carr, Kali; Perszyk, Danielle R.; Norton, Elizabeth S.; Voss, Joel L.; Poeppel, David; Waxman, Sandra R. – Developmental Science, 2021
The power and precision with which humans link language to cognition is unique to our species. By 3-4 months of age, infants have already established this link: simply listening to human language facilitates infants' success in fundamental cognitive processes. Initially, this link to cognition is also engaged by a broader set of acoustic stimuli,…
Descriptors: Infants, Child Development, Brain, Language Processing