scholarly journals Proceedings of the Eighth SIGHAN Workshop on Chinese Language Processing

2015 ◽  
Keyword(s):  
Language Processing ◽  
Chinese Language

A WORD-BASED CHINESE LANGUAGE UNDERSTANDING SYSTEM

1988 ◽  
Vol 02 (01) ◽  
pp. 25-35
Author(s):  
TIAN-SHUN YAO
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Chinese Language ◽  
Computer Programs ◽  
World Knowledge ◽  
Knowledge Source ◽  
Language Understanding ◽  
Language Analysis ◽  
The World

With the word-based theory of natural language processing, a word-based Chinese language understanding system has been developed. In the light of psychological language analysis and the features of the Chinese language, this theory of natural language processing is presented with the description of the computer programs based on it. The heart of the system is to define a Total Information Dictionary and the World Knowledge Source used in the system. The purpose of this research is to develop a system which can understand not only Chinese sentences but also the whole text.

A Model-based Feature Optimization Approach to Chinese Language Processing

2014 ◽  
Vol 22 (1) ◽  
pp. 55-81
Author(s):  
Yuting Yang ◽  
Yunhua Qu ◽  
Chenyao Bao ◽  
Xiaowen Zhang
Keyword(s):  
Language Processing ◽  
Chinese Language ◽  
Optimization Approach ◽  
Model Based ◽  
Feature Optimization

scholarly journals Logical Intelligent Detection Algorithm of Chinese Language Articles Based on Text Mining

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Zihui Zheng
Keyword(s):  
Natural Language Processing ◽  
Text Mining ◽  
Natural Language ◽  
Language Processing ◽  
Chinese Language ◽  
Detection Algorithm ◽  
Processing Technology ◽  
Experimental Comparison ◽  
Intelligent Detection ◽  
Web Text Mining

With the advent of the big data era and the rapid development of the Internet industry, the information processing technology of text mining has become an indispensable role in natural language processing. In our daily life, many things cannot be separated from natural language processing technology, such as machine translation, intelligent response, and semantic search. At the same time, with the development of artificial intelligence, text mining technology has gradually developed into a research hotspot. There are many ways to realize text mining. This paper mainly describes the realization of web text mining and the realization of text structure algorithm based on HTML through a variety of methods to compare the specific clustering time of web text mining. Through this comparison, we can also get which web mining is the most efficient. The use of WebKB datasets for many times in experimental comparison also reflects that Web text mining for the Chinese language logic intelligent detection algorithm provides a basis.

Hierarchical coding of characters in the ventral and dorsal visual streams of Chinese language processing

NeuroImage ◽  
2009 ◽  
Vol 48 (2) ◽  
pp. 423-435 ◽  
Author(s):  
Suk-tak Chan ◽  
Sze-wing Tang ◽  
Kwok-wing Tang ◽  
Wing-kit Lee ◽  
Shing-shun Lo ◽  
...  
Keyword(s):  
Language Processing ◽  
Chinese Language ◽  
Hierarchical Coding

scholarly journals The Public AI Research Portfolio of China’s Security Forces: A High-Level Analysis

2021 ◽  
Author(s):  
Dewey Murdick ◽  
Daniel Chou ◽  
Ryan Fedasiuk ◽  
Emily Weinstein
Keyword(s):  
Artificial Intelligence ◽  
Computer Vision ◽  
Natural Language Processing ◽  
Language Processing ◽  
Chinese Language ◽  
Public Security ◽  
Security Forces ◽  
The Public ◽  
High Level ◽  
Level Analysis

New analytic tools are used in this data brief to explore the public artificial intelligence (AI) research portfolio of China’s security forces. The methods contextualize Chinese-language scholarly papers that claim a direct working affiliation with components of the Ministry of Public Security, People's Armed Police Force, and People’s Liberation Army. The authors review potential uses of computer vision, robotics, natural language processing and general AI research.

Word segmentation in Chinese language processing

2017 ◽  
Vol 10 (2) ◽  
pp. 165-173 ◽  
Author(s):  
Xinxin Shu ◽  
Junhui Wang ◽  
Xiaotong Shen ◽  
Annie Qu
Keyword(s):  
Language Processing ◽  
Chinese Language ◽  
Word Segmentation

Introduction to the Special Issue on Chinese Language Processing

2011 ◽  
Vol 10 (3) ◽  
pp. 1-3
Author(s):  
Keh-Jiann Chen ◽  
Qun Liu ◽  
Nianwen Xue ◽  
Le Sun
Keyword(s):  
Language Processing ◽  
Chinese Language ◽  
Special Issue

scholarly journals Lesion Distribution and Early Changes of Right Hemisphere in Chinese Patients With Post-stroke Aphasia

2021 ◽  
Vol 13 ◽  
Author(s):  
Ruiwen Fan ◽  
Ying Gao ◽  
Hua Zhang ◽  
Xiyan Xin ◽  
Feng Sang ◽  
...  
Keyword(s):  
Language Processing ◽  
Gray Matter ◽  
Right Hemisphere ◽  
Chinese Language ◽  
Brain Mri ◽  
Morphological Characteristics ◽  
Chinese Patients ◽  
Post Stroke ◽  
Language Functions ◽  
Stream Model

The role of the right hemisphere (RH) in post-stroke aphasia (PSA) has not been completely understood. In general, the language alterations in PSA are normally evaluated from the perspective of the language processing models developed from Western languages such as English. However, the successful application of the models for assessing Chinese-language functions in patients with PSA has not been reported. In this study, the features of specific language-related lesion distribution and early variations of structure in RH in Chinese patients with PSA were investigated. Forty-two aphasic patients (female: 13, male: 29, mean age: 58 ± 12 years) with left hemisphere (LH) injury between 1 and 6 months after stroke were included. The morphological characteristics, both at the levels of gray matter (GM) and white matter (WM), were quantified by 3T multiparametric brain MRI. The Fridriksson et al.’s dual-stream model was used to compare language-related lesion regions. Voxel-based lesion-symptom mapping (VLSM) analysis has been performed. Our results showed that lesions in the precentral, superior frontal, middle frontal, and postcentral gyri were responsible for both the production and comprehension dysfunction of Chinese patients with PSA and were quite different from the lesions described by using the dual-stream model of Fridriksson et al. Furthermore, gray matter volume (GMV) was found significantly decreased in RH, and WM integrity was disturbed in RH after LH injury in Chinese patients with PSA. The different lesion patterns between Chinese patients with PSA and English-speaking patients with PSA may indicate that the dual-stream model of Fridriksson et al. is not suitable for the assessment of Chinese-language functions in Chinese patients with PSA in subacute phase of recovery. Moreover, decreased structural integrity in RH was found in Chinese patients with PSA.

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