Automatic Spelling Correction Rule Extraction and Application for Spoken-Style Korean Text

2007 ◽  
Author(s):  
JeungHyun Byun ◽  
Hae-Chang Rim ◽  
So-Young Park
Keyword(s):  
Korean Text ◽  
Rule Extraction ◽  
Spelling Correction

Improving Document Retrieval with Spelling Correction for Weak and Fabricated Indonesian-Translated Hadith

2020 ◽  
Vol 4 (3) ◽  
pp. 551-557
Author(s):  
Muhammad zaky ramadhan ◽  
Kemas Muslim Lhaksmana
Keyword(s):  
Retrieval System ◽  
Islamic Law ◽  
Vector Space Model ◽  
Document Retrieval ◽  
The Internet ◽  
Average Precision ◽  
Spelling Correction ◽  
Space Model ◽  
The Mean ◽  
The Web

Hadith has several levels of authenticity, among which are weak (dhaif), and fabricated (maudhu) hadith that may not originate from the prophet Muhammad PBUH, and thus should not be considered in concluding an Islamic law (sharia). However, many such hadiths have been commonly confused as authentic hadiths among ordinary Muslims. To easily distinguish such hadiths, this paper proposes a method to check the authenticity of a hadith by comparing them with a collection of fabricated hadiths in Indonesian. The proposed method applies the vector space model and also performs spelling correction using symspell to check whether the use of spelling check can improve the accuracy of hadith retrieval, because it has never been done in previous works and typos are common on Indonesian-translated hadiths on the Web and social media raw text. The experiment result shows that the use of spell checking improves the mean average precision and recall to become 81% (from 73%) and 89% (from 80%), respectively. Therefore, the improvement in accuracy by implementing spelling correction make the hadith retrieval system more feasible and encouraged to be implemented in future works because it can correct typos that are common in the raw text on the Internet.

BIGRAMS AND CHUNKING: ADVANTAGES FOR USING IN AUTOMATIC SPELLING CORRECTION IN RUSSIAN AND ENGLISH

2017 ◽  
Vol 73 (10) ◽  
Author(s):  
Vladimir Polyakov ◽  
Ivan Anisimov ◽  
Elena Makarova
Keyword(s):  
Spelling Correction

scholarly journals Spelling correction for the Arabic language space deletion errors-

2020 ◽  
Vol 177 ◽  
pp. 568-574
Author(s):  
Yousfi Abdellah ◽  
Aouragh Si Lhoussain ◽  
Gueddah Hicham ◽  
Nejja Mohamed
Keyword(s):  
Arabic Language ◽  
Spelling Correction

A deep learning-based CEP rule extraction framework for IoT data

2021 ◽  
Author(s):  
Mehmet Ulvi Simsek ◽  
Feyza Yildirim Okay ◽  
Suat Ozdemir
Keyword(s):  
Deep Learning ◽  
Rule Extraction

Stable rule extraction and decision making in rough non-deterministic information analysis

2011 ◽  
Vol 8 (1) ◽  
pp. 41-57 ◽  
Author(s):  
Hiroshi Sakai ◽  
Hitomi Okuma ◽  
Michinori Nakata ◽  
Dominik Ślȩzak
Keyword(s):  
Decision Making ◽  
Rule Extraction ◽  
Information Analysis

A search technique for rule extraction from trained neural networks

1999 ◽  
Vol 20 (3) ◽  
pp. 273-280 ◽  
Author(s):  
R. Krishnan ◽  
G. Sivakumar ◽  
P. Bhattacharya
Keyword(s):  
Neural Networks ◽  
Rule Extraction ◽  
Search Technique
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