Results 71 to 80 of about 27,036 (297)

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

Normal‐Appearing White Matter Injury Mediates Chronic Deep Venous Hypoxia and Disease Progression in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore how cerebral hypoxia and Normal‐Appearing White Matter (NAWM) integrity affect MS lesion burden and clinical course. Methods Seventy‐nine MS patients, including 13 clinically isolated syndrome (CIS) patients and 66 relapsing–remitting multiple sclerosis (RRMS) patients, and 44 healthy controls (HCs) were recruited from ...
Xinli Wang, Huiying Wang, Zhizheng Zhuo, Ai Guo, Ke Lv, Decai Tian, Chao Chai, Yunyun Duan, Shuang Xia   +8 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

Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi, Katharine Lee, Kerry C. Nix, Miguel Menchaca, Xiwei Shé, Lorelei Santa Maria, Wei Wu, Zihuai He, Fiona M. Baumer   +8 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

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).
openaire   +2 more sources

Word-Context Character Embeddings for Chinese Word Segmentation [PDF]

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
Neural parsers have benefited from automatically labeled data via dependency-context word embeddings. We investigate training character embeddings on a word-based context in a similar way, showing that the simple method improves state-of-the-art neural word segmentation models significantly, beating tri-training baselines for leveraging auto-segmented ...
Hao Zhou 0012, Zhenting Yu, Yue Zhang 0004, Shujian Huang, Xin-Yu Dai, Jiajun Chen 0001   +5 more
openaire   +1 more source

High‐Resolution MRI Revealed Different Etiology‐Specific Associations With Cerebral Infarction in Adult Moyamoya Vasculopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective High‐resolution MRI enables detailed assessment of intracranial vessel wall pathology in moyamoya vasculopathy. We aimed to classify adult moyamoya vasculopathy etiologies using high‐resolution MRI and to examine subtype‐specific associations between high‐resolution MRI features and ischemic infarction.
Guangsong Han, Jiachun Pan, Yuehui Hong, Xiaoyuan Fan, Ming Yao, Lixin Zhou, Yicheng Zhu, Feng Feng, Jun Ni   +8 more
wiley   +1 more source

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

Unsupervised extraction of recurring words from infant-directed speech [PDF]

, 2011
To date, most computational models of infant word segmentation have worked from phonemic or phonetic input, or have used toy datasets. In this paper, we present an algorithm for word extraction that works directly from naturalistic acoustic input: infant-
McInnes, Fergus, McInnes, Fergus R., Goldwater, Sharon; id_orcid, Goldwater, Sharon   +3 more
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