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An efficient, font independent word and character segmentation algorithm for printed Arabic text
Journal of King Saud University: Computer and Information Sciences, 2022 Characters segmentation is a necessity and the most critical stage in Arabic OCR system. It has attracted the interest of a wide range of researchers. However, the nature of the Arabic cursive script poses extra challenges that need further investigation.
Aziz Qaroush +5 more
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Segmenting Chinese Texts into Words for Semantic Network Analysis [PDF]
Journal of Contemporary Eastern Asia, 2017 Unlike most languages, written Chinese has no spaces between words. Word segmentation must be performed before semantic network analysis can be conducted.
James A. Danowski
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A Domain Feature Word Vector Description Method for Military Texts [PDF]
Jisuanji gongcheng, 2016 According to the large number of named entities and deep domain of feature words in military text information,this paper proposes a vector description method for domain feature words.It compresses the vector space through the optimization of word ...
QIN Jie,CAO Lei,PENG Hui,LAI Jun
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A Dataset for Sanskrit Word Segmentation [PDF]
Proceedings of the Joint SIGHUM Workshop on Computational Linguistics
for Cultural Heritage, Social Sciences, Humanities and Literature, 2017 La dernière décennie a vu une recrudescence des efforts de numérisation pour les manuscrits anciens en sanskrit. En raison de diverses particularités linguistiques inhérentes à la langue, même les tâches préliminaires telles que la segmentation des mots ne sont pas triviales en sanskrit.
Amrith Krishna +2 more
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A Graph-based Model for Joint Chinese Word Segmentation and Dependency Parsing
Transactions of the Association for Computational Linguistics, 2020 Chinese word segmentation and dependency parsing are two fundamental tasks for Chinese natural language processing. The dependency parsing is defined at the word-level.
Yan, Hang, Qiu, Xipeng, Huang, Xuanjing
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Complexity, 2020 In natural language, the phenomenon of polysemy is widespread, which makes it very difficult for machines to process natural language. Word sense disambiguation is a key issue in the field of natural language processing.
Lei Wang, Qun Ai
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Word-based largest chunks for Agreement Groups processing: Cross-linguistic observations
LingBaW, 2020 The present study reports results from a series of computer experiments seeking to combine word-based Largest Chunk (LCh) segmentation and Agreement Groups (AG) sequence processing.
László Drienkó
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Word Segmentation for Burmese (Myanmar) [PDF]
ACM Transactions on Asian and Low-Resource Language Information Processing, 2016 Experiments on various word segmentation approaches for the Burmese language are conducted and discussed in this note. Specifically, dictionary-based, statistical, and machine learning approaches are tested. Experimental results demonstrate that statistical and machine learning approaches perform significantly better than dictionary-based approaches ...
Chenchen Ding +3 more
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Early syllabic segmentation of fluent speech by infants acquiring French. [PDF]
PLoS ONE, 2013 Word form segmentation abilities emerge during the first year of life, and it has been proposed that infants initially rely on two types of cues to extract words from fluent speech: Transitional Probabilities (TPs) and rhythmic units.
Louise Goyet +2 more
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Systran's Chinese word segmentation [PDF]
Proceedings of the second SIGHAN workshop on Chinese language processing -, 2003 SYSTRAN's Chinese word segmentation is one important component of its Chinese-English machine translation system. The Chinese word segmentation module uses a rule-based approach, based on a large dictionary and fine-grained linguistic rules. It works on general-purpose texts from different Chinese-speaking regions, with comparable performance.
Jin Yang, Jean Senellart, Rémi Zajac
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