Results 1 to 10 of about 25,624 (260)

Visual Word Segmentation Cues in Tibetan Reading: Comparing Dictionary-Based and Psychological Word Segmentation [PDF]

open access: yesJournal of Eye Movement Research
This 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
doaj   +2 more sources

The Influence of Contextual Predictability on Word Segmentation in Chinese Reading: An Eye-Tracking Study [PDF]

open access: yesBehavioral Sciences
Word 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
doaj   +2 more sources

A hybrid Chinese word segmentation model for quality management-related texts based on transfer learning. [PDF]

open access: yesPLoS 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 Effect of Visual Word Segmentation Cues in Tibetan Reading [PDF]

open access: yesBrain Sciences
Background/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
doaj   +2 more sources

Early Word Segmentation Behind the Mask [PDF]

open access: yesFrontiers 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
doaj   +2 more sources

Arabic Word Segmentation With Long Short-Term Memory Neural Networks and Word Embedding

open access: yesIEEE 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
doaj   +3 more sources

Semantic Segmentation Method of Tibetan Sentences [PDF]

open access: yesJisuanji 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
doaj   +1 more source

CWSXLNet: A Sentiment Analysis Model Based on Chinese Word Segmentation Information Enhancement

open access: yesApplied 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
doaj   +1 more source

Do Chinese readers follow the national standard rules for word segmentation during reading? [PDF]

open access: yesPLoS ONE, 2013
We conducted a preliminary study to examine whether Chinese readers' spontaneous word segmentation processing is consistent with the national standard rules of word segmentation based on the Contemporary Chinese language word segmentation specification ...
Ping-Ping Liu   +3 more
doaj   +1 more source

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