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Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
Open Access
A Study of Key Elements of Computer Linguistics Extraction Based on Artificial Intelligence NLP
Liang Wang
Liang Wang
Shanxi Aerospace Technology Application Research Institute Co., Ltd
Xi’an, China
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Wang, Liang
,
Jinlin Tan
Jinlin Tan
Shanxi Aerospace Technology Application Research Institute Co., Ltd
Xi’an, China
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Tan, Jinlin
,
Weiming Wang
Weiming Wang
Shanxi Aerospace Technology Application Research Institute Co., Ltd
Xi’an, China
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Wang, Weiming
,
Wenjie Chang
Wenjie Chang
Shanxi Aerospace Technology Application Research Institute Co., Ltd
Xi’an, China
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Chang, Wenjie
,
Min Zhang
Min Zhang
Shanxi Aerospace Technology Application Research Institute Co., Ltd
Xi’an, China
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Zhang, Min
,
Yan Liu
Yan Liu
Shanxi Aerospace Technology Application Research Institute Co., Ltd
Xi’an, China
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Liu, Yan
,
Wei Wang
Wei Wang
Shanxi Aerospace Technology Application Research Institute Co., Ltd
Xi’an, China
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Wang, Wei
,
Baobao Shi
Baobao Shi
Shanxi Aerospace Technology Application Research Institute Co., Ltd
Xi’an, China
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Shi, Baobao
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Pengpeng Zhao
Pengpeng Zhao
Shanxi Aerospace Technology Application Research Institute Co., Ltd
Xi’an, China
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Zhao, Pengpeng
Nov 29, 2024
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
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Published Online:
Nov 29, 2024
Received:
Jul 31, 2024
Accepted:
Nov 02, 2024
DOI:
https://doi.org/10.2478/amns-2024-3638
Keywords
Natural language processing
,
Computational linguistics
,
HMM model
,
Viterbi algorithm
,
Key element extraction.
© 2024 Liang Wang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.