Results 51 to 60 of about 1,316 (159)

Late Positive Potentials as an Index of “Desirably Difficult” Learning Processes Engaged During Language Comprehension: ERP Evidence From Studies of Domain Knowledge

Psychophysiology, Volume 63, Issue 4, April 2026.
ABSTRACT Electrophysiological studies of language comprehension have primarily examined the kind of information that comes to mind, and when, as people process words and build message‐level understanding. However, less is known about the factors that allow people to commit the message‐level information to memory for future use.
Melissa Troyer, Marta Kutas, Kara D. Federmeier   +2 more
wiley   +1 more source

Prediction in SVO and SOV languages: processing and typological considerations

Linguistics
In this study, we tested the possibility that different word orders engender different processing preferences. Our key hypothesis was that a head-initial language like English (SVO) allows more prediction compared to a head-final language like Japanese ...
Engelhardt Paul E., Filipović Luna, Hawkins John A.   +2 more
doaj   +1 more source

Thematic Relations: A Study on Conceptual Composition in Brazilian Portuguese

Cadernos de Linguística
This study explores the processing of noun-prep-noun combinations in prepositional phrases in Brazilian Portuguese, focusing on the syntactic-semantic relationship marked by prepositions, implies the semantic sense in which the noun is being modified ...
Mayda Rangel Gomes Peres, Marije Soto
doaj   +1 more source

On the scaling relationship between cloze probabilities and language model next-token prediction

CoRR
Recent work has shown that larger language models have better predictive power for eye movement and reading time data. While even the best models under-allocate probability mass to human responses, larger models assign higher-quality estimates of next tokens and their likelihood of production in cloze data because they are less sensitive to lexical co ...
Cassandra L. Jacobs, Morgan Grobol
openaire   +2 more sources

Semantic Processing in Autism During Speech‐in‐Music Listening: Insights From Congruency and Surprisal‐Based N400 Analyses

Psychophysiology, Volume 63, Issue 1, January 2026.
ABSTRACT Understanding speech in background music is a common real‐world challenge, particularly when vocals compete for linguistic processing resources. This study examined how the presence and intelligibility of sung lyrics influence semantic processing in autistic and nonautistic adults.
Jiayin Li, Maleeha Sujawal, Zivile Bernotaite, Ian Cunnings, Fang Liu   +4 more
wiley   +1 more source

Aptitude complexes: Expanding our view of language aptitude

The Modern Language Journal, Volume 109, Issue 4, Page 775-799, Winter 2025.
Abstract In second language (L2) research, aptitude is typically viewed as a multicomponential, cognitive construct. Yet we know that L2 learning is influenced by multiple learner individual differences (IDs) besides cognitive abilities and that these IDs interact.
Lani Freeborn, Sible Andringa, Judith Rispens   +2 more
wiley   +1 more source

Contextual probability and word frequency as determinants of pauses and errors in spontaneous speech

, 1979
This study investigated the relationship between the contextual probability of lexical items in spontaneous speech, as measured by the Cloze procedure, and word frequency.
BEATTIE, GEOFFREY, Butterworth, Brian
core   +2 more sources

Capital Gains: Effects of Word Class and Sentence Position on Capitalization Use Across Age

Child Development, Volume 96, Issue 6, Page 2233-2246, November/December 2025.
ABSTRACT Learning to capitalize in English requires identifying a word's type and sentence position. In two cloze studies (2021–2022), Australian students of all genders (95% White, monolingual) spelled words with one and two capitalization cues (proper nouns, sentence‐initial words) and no‐cue control words.
Emilia Hawkey, Matthew A. Palmer, Nenagh Kemp   +2 more
wiley   +1 more source

Artificial Intelligence Is Stereotypically Linked More with Socially Dominant Groups in Natural Language

Advanced Science, Volume 12, Issue 39, October 20, 2025.
AI is not seen through an unbiased lens. People tend to stereotype AI as competent and link it with socially advantaged groups—such as men, the wealthy, the young, and prestigious occupations—raising concerns that such perceptions may deepen existing social divides rather than bridge them.
Zixi Wang, Haodong Xia, Han Wu Shuang Bao, Yiming Jing, Ruolei Gu   +4 more
wiley   +1 more source

Tibetan Few‐Shot Learning Model With Deep Contextualised Two‐Level Word Embeddings

CAAI Transactions on Intelligence Technology, Volume 10, Issue 5, Page 1394-1410, October 2025.
ABSTRACT Few‐shot learning is the task of identifying new text categories from a limited set of training examples. The two key challenges in few‐shot learning are insufficient understanding of new samples and imperfect modelling. The uniqueness of low‐resource languages lies in their limited linguistic resources, which directly leads to the difficulty ...
Ziyue Zhang, Yongbin Yu, Xiangxiang Wang, Xiao Feng, Yuze Li, Jiarun Shen, Dorje Tashi, Jin Zhang, Lobsang Yeshi, Lei Li, Nyima Tashi, Jingye Cai   +11 more
wiley   +1 more source