Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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Those learning English as a second or foreign language use spell checkers to correct the mistakes and errors they may have made while typing texts on a computer. However, scholars have debated the effectiveness of such checkers, which were originally designed to fix the spelling mistakes of native speakers. An example of these checkers is the Microsoft (MS) Word program, which constitutes the focus of the current study. This study examined how MS Word treats misspellings made by Saudi learners of English as a foreign language. It specifically addressed three research questions: (1) which L2 spelling errors were successfully fixed by MS Word; (2) which L2 spelling errors were unsuccessfully fixed by MS Word; and (3) how did intermediate L2 learners respond to alternative corrections provided by MS Word. A screentracking software, Screencast-O-Matic, was used to monitor the MS Word spell checker’s treatment of misspelled words. It was also used to track learners’ reactions to alternative corrections provided by MS Word in real time. The study analysed 401 errors made by25 female intermediate-level English learners at a Saudi university.
Nasser Alasmari. 2019. \u201cDoes the MS Spell Checker Effectively Correct Non-Native English Writers’ Errors? A Case Study of Saudi University Students\u201d. Global Journal of Human-Social Science - G: Linguistics & Education GJHSS-G Volume 19 (GJHSS Volume 19 Issue G10): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Neural Networks and Rules-based Systems used to Find Rational and
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Those learning English as a second or foreign language use spell checkers to correct the mistakes and errors they may have made while typing texts on a computer. However, scholars have debated the effectiveness of such checkers, which were originally designed to fix the spelling mistakes of native speakers. An example of these checkers is the Microsoft (MS) Word program, which constitutes the focus of the current study. This study examined how MS Word treats misspellings made by Saudi learners of English as a foreign language. It specifically addressed three research questions: (1) which L2 spelling errors were successfully fixed by MS Word; (2) which L2 spelling errors were unsuccessfully fixed by MS Word; and (3) how did intermediate L2 learners respond to alternative corrections provided by MS Word. A screentracking software, Screencast-O-Matic, was used to monitor the MS Word spell checker’s treatment of misspelled words. It was also used to track learners’ reactions to alternative corrections provided by MS Word in real time. The study analysed 401 errors made by25 female intermediate-level English learners at a Saudi university.
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