Results 61 to 70 of about 1,323,874 (288)

Segmentation of vowel-initial words is facilitated by function words [PDF]

Journal of Child Language, 2014
AbstractWithin the first year of life, infants learn to segment words from fluent speech. Previous research has shown that infants at 0;7·5 can segment consonant-initial words, yet the ability to segment vowel-initial words does not emerge until the age of 1;1–1;4 (0;11 in some restricted cases).
Yun Jung, Kim, Megha, Sundara
openaire   +2 more sources

Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan, Marco Pitteri, Michael Foster, Sara Collorone, Sara Salama, Elisa Colato, Ferran Prados, Baris Kanber, Marios Yiannakas, Claudia A. M. Gandini Wheeler‐Kingshott, Indran Davagnanam, Frederik Barkhof, Declan Chard, Olga Ciccarelli, Ahmed Toosy   +14 more
wiley   +1 more source

Syllabic Segmentation Algorithm of Arabic Word [PDF]

المجلة العراقية للعلوم الاحصائية, 2008
An experimental evaluation of an automatic algorithm for segmentation of speech into Arabic syllabic units is reported here. The parameter used for segmentation is the energy and statistical parameter of acoustic signal and depending on the ...
Faten B. Sofya, Mahdi F.M. Al-Obadi
doaj   +1 more source

Modelling function words improves unsupervised word segmentation [PDF]

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2014
Inspired by experimental psychological findings suggesting that function words play a special role in word learning, we make a simple modification to an Adaptor Grammar based Bayesian word segmentation model to allow it to learn sequences of monosyllabic “function words” at the beginnings and endings of collocations of (possibly multi-syllabic) words ...
Mark Johnson 0001, Anne Christophe, Emmanuel Dupoux, Katherine Demuth   +3 more
openaire   +1 more source

MOGAD Is the Most Common Cause of Isolated Optic Neuritis in Children

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives The study aimed to characterize the clinical features, etiologies, and outcomes of isolated, first‐time pediatric ON in the post‐MOG‐IgG era. Methods This was a single‐center retrospective cohort study at Texas Children's Hospital of patients diagnosed with first‐time ON between 2018–2024, with follow‐up data collected through 2025.
Chaitanya Aduru, Akansha Chandrasekar, Kyla Blasingame, Jonathan Rosen, Jesse M. Levine, Karla Salazar, Madhuri Chilakapati, Rod Foroozan, Victoria Hardwick, Jonathan M. Yarimi, Nikita Shukla, Timothy E. Lotze, Kristen S. Fisher, Alexander J. Sandweiss   +13 more
wiley   +1 more source

The effect of emotional information on Chinese word segmentation is influenced by word locations

Acta Psychologica
Chinese word segmentation is challenging due to the lack of clear word boundaries. This study investigated how emotional valence and word location affect Chinese word segmentation in vertical reading direction, using overlapping ambiguous strings (OAS ...
Xiaoyang Zou, Bowen Xie, Wenjie Peng, Mengjie Ji, Die Qin, Jie Yuan   +5 more
doaj   +1 more source

Evaluation of Digital Technologies for Home‐Based Assessment in People With Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller, Vanessa Vallejo, Mónica Povedano Panadés, Orla Hardiman, Véronique Danel‐Brunaud, Senda Ajroud‐Driss, Philippe Couratier, Jeremy Shefner, Anna Gokey, Mike DiCesare, Erin Lennox, Jens Praestgaard, Lucie Brujin, Peggy Allred, Ram Miller   +14 more
wiley   +1 more source

Paramagnetic Rim Lesions and Choroid Plexus Volume at Diagnosis Are Associated With Cognitive Progression Independent of Relapse and MRI Activity in Early Relapsing–Remitting Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Paramagnetic rim lesions (PRLs) and choroid plexus (CP) enlargement reflect smoldering inflammation in multiple sclerosis. Their role in cognitive progression remains unexplored. Eighty‐seven early relapsing–remitting MS patients were enrolled at diagnosis and followed longitudinally.
Stefano Ziccardi, Damiano Marastoni, Agnese Tamanti, Pietro Biasi, Valentina Visani, Annalisa Colombi, Tom A. Fuchs, Monica Sicchieri, Chiara Eccher, Francesco Guarnaccia, Milena Calderone, Valentina Camera, Francesca Benedetta Pizzini, Roberta Magliozzi, Marco Castellaro, Massimiliano Calabrese   +15 more
wiley   +1 more source

A Joint Learning Model of Word Segmentation, Lexical Acquisition, and Phonetic Variability [PDF]

, 2013
We present a cognitive model of early lexical acquisition which jointly performs word segmentation and learns an explicit model of phonetic variation. We define the model as a Bayesian noisy channel; we sample segmentations and word forms simultaneously ...
Elsner, Micha, Feldman, Naomi, Wood, Frank, Goldwater, Sharon; id_orcid   +3 more
core  

Segment predictability as a cue in word segmentation [PDF]

Proceedings of the 7th Meeting of the ACL Special Interest Group in Computational Phonology: Current Themes in Computational Phonology and Morphology on - SIGMorPhon '04, 2004
Several computational simulations of how children solve the word segmentation problem have been proposed, but most have been applied only to a limited number of languages. One model with some experimental support uses distributional statistics of sound sequence predictability (Saffran et al. 1996).
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