Results 21 to 30 of about 1,323,874 (288)
Adaptive Chinese word segmentation [PDF]
Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics - ACL '04, 2004 This paper presents a Chinese word segmentation system which can adapt to different domains and standards. We first present a statistical framework where domain-specific words are identified in a unified approach to word segmentation based on linear models. We explore several features and describe how to create training data by sampling.
Jianfeng Gao +6 more
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Thai word segmentation for visualization of Thai Web sites [PDF]
, 2011 Information overload is a problem in the Information Age and Information visualization is an approach to provide an overview of the content of a web site. Tag cloud is one of the ways to represent information as an image of a group of words.
Wigrai Thanadechteemapat +3 more
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Domain-Specific Chinese Word Segmentation Based on Bi-Directional Long-Short Term Memory Model
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
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Feature Extraction and Analysis of Natural Language Processing for Deep Learning English Language
IEEE Access, 2020 NLP (Natural Language Processing) is a technology that enables computers to understand human languages. Deep-level grammatical and semantic analysis usually uses words as the basic unit, and word segmentation is usually the primary task of NLP.
Dongyang Wang, Junli Su, Hongbin Yu
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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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