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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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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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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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
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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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Arabic Word Segmentation With Long Short-Term Memory Neural Networks and Word Embedding
IEEE Access, 2019 In this paper, we propose an Arabic word segmentation technique based on a bi-directional long short-term memory deep neural network. This paper addresses the two tasks of word segmentation only and word segmentation for nine cases of the rewrite.
Abdulrahman Almuhareb +2 more
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Universal Word Segmentation: Implementation and Interpretation [PDF]
Transactions of the Association for Computational Linguistics, 2021 Word segmentation is a low-level NLP task that is non-trivial for a considerable number of languages. In this paper, we present a sequence tagging framework and apply it to word segmentation for a wide range of languages with different writing systems and typological characteristics.
Yan Shao +2 more
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Contrasting off‐line segmentation decisions with on‐line word segmentation during reading [PDF]
British Journal of Psychology, 2021 Chuanli Zang
exaly +2 more sources
Semantic Segmentation Method of Tibetan Sentences [PDF]
Jisuanji gongcheng, 2020 Sentences are characters or words that are combined according to grammatical rules.Semantic segmentation is a decoding problem of sentence combination rules,that is,parsing the meaning of sentences.If the semantic analysis is performed directly after the
ROU Te, SE Chajia, CAI Rangjia
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CWSXLNet: A Sentiment Analysis Model Based on Chinese Word Segmentation Information Enhancement
Applied Sciences, 2023 This paper proposed a method for improving the XLNet model to address the shortcomings of segmentation algorithm for processing Chinese language, such as long sub-word lengths, long word lists and incomplete word list coverage.
Shiqian Guo +4 more
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