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An AI-powered knowledge hub for potato functional genomics. [PDF]

open access: yesPlant Commun
Li J   +13 more
europepmc   +1 more source

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

The effect of arousal on Chinese word segmentation

open access: yesPsychonomic Bulletin & Review
In the absence of inter-word spaces, Chinese readers rely on other available information for word segmentation. An earlier study demonstrated that the valence of words influences word segmentation (Huang et al., Psychonomic Bulletin & Review, 31 (4), 1548-1557, 2024).
Chenxi, Li   +2 more
core   +4 more sources

Word Segmentation for Chinese Judicial Documents

open access: yes, 2019
Word segmentation is an integral step in many knowledge discovery applications. However, existing word segmentation methods have problems when applying to Chinese judicial documents: (1) existing methods rely on large-scale labeled data which is typically unavailable in judicial documents, and (2) judicial document has its own language features and ...
Linxia Yao   +7 more
openaire   +2 more sources

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

open access: yesVisual 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, Alexander Pollatsek
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

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   +2 more
openaire   +2 more sources

The role of semantic information in Chinese word segmentation

open access: yesLanguage, Cognition and Neuroscience
Word segmentation is crucial for reading in Chinese, where the absence of explicit word boundaries poses a distinct challenge. Previous studies in Chinese have examined how lexical and sub-lexical variables affect word segmentation.
Xingshan Li   +2 more
exaly   +2 more sources

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