Retraction
Research on English spoken semantic recognition machine learning model based on neural network and statistics fusion
Paper Information
Record ID:
34215
Author(s):
Publication Date:
June 25, 2020
Retraction Date:
November 17, 2021
(4.0 years years ago)
Subjects:
Country:
🇨🇳 ChinaArticle Type:
Publisher:
IOS Press (bought by Sage November 2023)
Open Access:
Yes
DOI:
PubMed ID:
Not indexed in PubMed
Retraction PubMed ID:
Not indexed in PubMed
Retraction Details
Retraction Reasons:
Nature of Retraction:
Retraction
Retraction Notice:
10.3233/JIFS-219218Additional Notes:
See also: https://pubpeer.com/publications/E85139CC38EDA0A919E7B06F965F3E
Citations (6)
6
Total Citations5
Post-Retraction(83.3%)
0
Pre-Retraction0
Same DayPost-Retraction Citation Analysis
0
Within 30 days
0
Within 1 year
2
After 2+ years
806
Days since retraction (latest)
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
Extraction and Analysis of Semantic Features of English Texts under Intelligent Algorithms
Shuangshuang Yu
Automatic Control and Computer Sciences
Published: Feb 2024
1 citation
1 citation
806 days after retraction
A study on intelligent translation of English sentences by a semantic feature extractor
Shulun Jiang
Journal of Intelligent Systems
Open Access
Published: Jan 2024
775 days after retraction
Semantic pattern recognition of special English words based on data corpus technology
Qingxia He
Applied Mathematics and Nonlinear Sciences
Open Access
Published: Nov 2023
717 days after retraction
Design of Japanese Translation Online Assistant System Based on Neural Network
Chunyao Li
2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE)
Published: Sep 2023
675 days after retraction
Automatic Scoring Model of English Interpretation Based on Semantic Scoring
Hua Ma
Mobile Information Systems
Open Access
Published: Apr 2023
1 citation
1 citation
516 days after retraction
Quick Stats
Total Citations:
12
Years Since Retraction:
4.0 years
Open Access:
Yes
Last Checked:
Jul 24, 2025