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The specific nature of the statistical learning deficit in developmental dyslexia: Impaired temporal and spared spatial learning abilities. [PDF]

Psychon Bull Rev
Shukri AM, Growns B, Siegelman N, Gabay Y.   +3 more
europepmc   +1 more source

A short text entity disambiguation method based on BERT model and shortest path algorithm. [PDF]

Sci Rep
Liu X, Zhang D, Xiao T, Mou S, Du J, Zhao R, Li W, Liu W, Zhan Y.   +8 more
europepmc   +1 more source

Does artificial intelligence-supported rhythm-enhanced phonological awareness training improve early reading in children with attention-deficit/hyperactivity disorder? A randomised controlled intervention study. [PDF]

Front Psychol
Zhang L, Huang F, Li P.
europepmc   +1 more source

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On the segmentation of Chinese words during reading

Cognitive Psychology, 2009
Given that there are no spaces between words in Chinese, how words are segmented when reading is something of a mystery. Four Chinese characters, which either constituted one 4-character word or two 2-character words, were shown briefly to subjects. Subjects were quite accurate in reporting the 4-character word, but could usually only report the first ...
Xingshan Li, Kyle Cave, Keith Rayner
exaly   +3 more sources

There is no relationship between preferred viewing location and word segmentation in Chinese reading

Visual Cognition, 2015
In Chinese, as there are no spaces between words to mark word boundaries, readers usually do not target their eyes to the centre of the word as readers of English do.
Xingshan Li, Guojie Ma, Alexander Pollatsek   +2 more
exaly   +2 more sources

Word Segmentation for Chinese Novels

Proceedings of the AAAI Conference on Artificial Intelligence, 2015
Word segmentation is a necessary first step for automaticsyntactic analysis of Chinese text. Chinese segmentationis highly accurate on news data, but the accuraciesdrop significantly on other domains, such as science andliterature. For scientific domains, a significant portionof out-of-vocabulary words are domain-specific terms, and ...
Likun Qiu, Yue Zhang 0004
openaire   +2 more sources

Neural Chinese word segmentation with dictionary

Neurocomputing, 2019
Abstract Chinese word segmentation (CWS) is an important task for Chinese NLP. Recently, many neural network based methods have been proposed for Chinese word segmentation. However, these methods require a large number of labeled sentences for model training, and usually cannot utilize the useful information in Chinese dictionary.
Chuhan Wu, Fangzhao Wu, Xing Xie
exaly   +3 more sources