The Effect of Visual Word Segmentation Cues in Tibetan Reading [PDF]
Brain SciencesBackground/Objectives: In languages with within-word segmentation cues, the removal or replacement of these cues in a text hinders reading and lexical recognition, and adversely affects saccade target selection during reading.
Danhui Wang +3 more
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Early Word Segmentation Behind the Mask [PDF]
Frontiers in Psychology, 2022 Infants have been shown to rely both on auditory and visual cues when processing speech. We investigated the impact of COVID-related changes, in particular of face masks, in early word segmentation abilities.
Sónia Frota +4 more
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Domain-Specific Chinese Word Segmentation Based on Bi-Directional Long-Short Term Memory Model [PDF]
IEEE Access, 2019 Most of the current word segmentation methods are rule-based and traditional machine learning methods. Universal word segmentation tools do not work well in the field such as metallurgy. Domain-specific Chinese word segmentation is rarely studied.
Dangguo Shao +6 more
doaj +2 more sources
Visual Word Segmentation Cues in Tibetan Reading: Comparing Dictionary-Based and Psychological Word Segmentation [PDF]
Journal of Eye Movement ResearchThis study utilized eye-tracking technology to explore the role of visual word segmentation cues in Tibetan reading, with a particular focus on the effects of dictionary-based and psychological word segmentation on reading and lexical recognition.
Dingyi Niu +4 more
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A hybrid Chinese word segmentation model for quality management-related texts based on transfer learning. [PDF]
PLoS ONE, 2022 Text information mining is a key step to data-driven automatic/semi-automatic quality management (QM). For Chinese texts, a word segmentation algorithm is necessary for pre-processing since there are no explicit marks to define word boundaries.
Peihan Wen, Linhan Feng, Tian Zhang
doaj +2 more sources
The Influence of Contextual Predictability on Word Segmentation in Chinese Reading: An Eye-Tracking Study [PDF]
Behavioral SciencesWord segmentation is a fundamental component of lexical processing, and Chinese reading—lacking inter-word spacing—requires readers to identify word boundaries based on prior experience.
Mengchuan Song +3 more
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Comparing neural- and N-gram-based language models for word segmentation. [PDF]
J Assoc Inf Sci Technol, 2019 Word segmentation is the task of inserting or deleting word boundary characters in order to separate character sequences that correspond to words in some language.
Doval Y, Gómez-Rodríguez C.
europepmc +4 more sources
Design and Implementation of Chinese Common Braille Translation System Integrating Braille Word Segmentation and Concatenation Rules. [PDF]
Comput Intell Neurosci, 2022 Zhang JX +5 more
europepmc +3 more sources
Annals of GIS, 2023 Unlike alphabet-based languages such as English, the Chinese language has no specifying word boundaries. Segmentation, particularly for the Chinese language, is a fundamental step towards Chinese text processing, information retrieval, and knowledge ...
Qinjun Qiu, Zhong Xie, Kai Ma, Miao Tian
doaj +2 more sources
The effect of morpheme positional frequency on tibetan novel word acquisition: An eye-tracking study. [PDF]
PLoS ONEWord segmentation is crucial for reading in unspaced languages like Tibetan, where readers rely on high-level cues like morpheme positional frequency (the statistical likelihood of a morpheme appearing at the beginning or end of a word).
Dingyi Niu, Jing Tian
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