Results 71 to 80 of about 15,845 (176)

Morphological word structure in English and Swedish : the evidence from prosody [PDF]

open access: yes, 2005
Trubetzkoy's recognition of a delimitative function of phonology, serving to signal boundaries between morphological units, is expressed in terms of alignment constraints in Optimality Theory, where the relevant constraints require specific morphological
Raffelsiefen, Renate
core  

Entrainment profiles: Comparison by gender, role, and feature set

open access: yes, 2018
We examine prosodic entrainment in cooperative game dialogs for new feature sets describing register, pitch accent shape, and rhythmic aspects of utterances.
Beňuš, Štefan   +2 more
core   +1 more source

Can Infants Perceive and Learn New Information from Extended Reality?

open access: yesDevelopmental Science, Volume 29, Issue 2, March 2026.
ABSTRACT As global societies increasingly embrace digital technologies, their integration into early childhood education becomes crucial for achieving United Nations sustainable developmental goals. The present study investigates whether extended reality (XR) environments effectively support infants' perception and learning capabilities. A total of 144
Liquan Liu   +8 more
wiley   +1 more source

Temiar Reduplication in One-Level Prosodic Morphology

open access: yes, 2000
Temiar reduplication is a difficult piece of prosodic morphology. This paper presents the first computational analysis of Temiar reduplication, using the novel finite-state approach of One-Level Prosodic Morphology originally developed by Walther (1999b,
Walther, Markus
core   +3 more sources

Discourse structure and information structure : interfaces and prosodic realization [PDF]

open access: yes, 2004
In this paper we review the current state of research on the issue of discourse structure (DS) / information structure (IS) interface. This field has received a lot of attention from discourse semanticists and pragmatists, and has made substantial ...
Jasinskaja, Ekaterina   +2 more
core  

Words and Meters: Neural Evidence for a Connection Between Individual Differences in Statistical Learning and Rhythmic Ability in Infancy

open access: yesDevelopmental Science, Volume 29, Issue 2, March 2026.
ABSTRACT Music and language are both hierarchically structured: syllables combine into words, and meters are groupings of musical beats. Statistical learning (SL) supports speech segmentation through computation of transitional probabilities between syllables, and individual differences in SL ability were found predictive of further language ...
Iris van der Wulp   +2 more
wiley   +1 more source

Effects of Lexical Frequency in Predictive Processing: Higher Frequency Boosts First Language Speed and Facilitates Second Language Prediction

open access: yesLanguage Learning, Volume 76, Issue 1, Page 249-279, March 2026.
Abstract This study explores how word frequency affects verb‐mediated prediction in L1 and L2 speakers, using a visual‐world eye‐tracking task. By manipulating frequency of nouns within subjects (higher; lower) and type of verbs used as predictive cues (semantically restrictive; neutral) in sentences (e.g., The {doctor/surgeon} {opened/moved} the box),
Haerim Hwang, Kitaek Kim
wiley   +1 more source

Listening, Reading, or Both? Rethinking the Comprehension Benefits of Reading‐While‐Listening

open access: yesLanguage Learning, Volume 76, Issue 1, Page 311-351, March 2026.
Abstract The rising popularity of audiobooks in language learning has highlighted the need to understand their potential benefits in enhancing comprehension and the mechanisms driving these effects. In this registered report, we explored the hypothesis that reading‐while‐listening can enhance lower‐level decoding skills, in turn freeing up cognitive ...
Bronson Hui, Aline Godfroid
wiley   +1 more source

Use of Automation Technologies and Data Mining in Speech Recognition for Autism

open access: yesBrain and Behavior, Volume 16, Issue 2, February 2026.
Pipeline analyzes clinical and naturalistic speech using LENA, wav2vec 2.0, and foundation‐model ASR (Whisper) to enable scalable ASD detection and severity estimation. Future work integrates benchmarking, privacy‐preserving collaboration (federated learning), and explainable, edge‐ready AI for clinically credible assessment and longitudinal monitoring.
Rongjie Mao, Yuncheng Zhu
wiley   +1 more source

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