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  1. 1
    String matching algorithms: to search and compare longest common subsequence strings retrieved from Wagner & Fischer and Hirschberg algorithms on Malay dictionary words / Mohd Razif Mohd Ghazi

    String matching algorithms: to search and compare longest common subsequence strings retrieved from Wagner & Fischer and Hirschberg algorithms on Malay dictionary words / Mohd Razi... by Mohd Ghazi, Mohd Razif

    Published 1999
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  2. 2
    Employing longest common subsequence method to retrieve translated Al-Quran documents / Muhamad Shamsudin

    Employing longest common subsequence method to retrieve translated Al-Quran documents / Muhamad Shamsudin by Shamsudin, Muhamad

    Published 2001
    “…Longest Common Subsequence algorithm (LCS) has been developed to solve string matching problems. …”
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  3. 3
    Needleman wunsch implementation for SPAM/UCE inline filter

    Needleman wunsch implementation for SPAM/UCE inline filter by Tamil E.M., Idris M.Y.I., Thong C.M., Jali M.Z., Madihah Mohd Saudi

    Published 2024
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  4. 4
    Evaluation of the effectiveness and efficiency of Wagner and Fischer algorithm in retrieving Hadith translated documents / Kamarul Arifin Muhamad

    Evaluation of the effectiveness and efficiency of Wagner and Fischer algorithm in retrieving Hadith translated documents / Kamarul Arifin Muhamad by Muhamad, Kamarul Arifin

    Published 2002
    “…First experiment uses exact match, which is no method, is apply. Second experiment uses dynamic programmings apply with Wagner and Fischer algorithm.…”
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  5. 5
    Online food ordering application using Boyer-Moore algorithm / Muhammad Zulhilmie Dzulkifli

    Online food ordering application using Boyer-Moore algorithm / Muhammad Zulhilmie Dzulkifli by Dzulkifli, Muhammad Zulhilmie

    Published 2021
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  6. 6
    Word segmentation of output response for sign language devices

    Word segmentation of output response for sign language devices by Za'bah, Nor Farahidah, Muhammad Nazmi, Ahmad Amierul Asyraf, Azman, Amelia Wong

    Published 2020
    “…The proposed text segmentation method in this work is by using the dynamic programming and back-off algorithm, together with the probability score using word matching with an English language text corpus. …”
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  7. 7
    Heartbeat disease diagnosis using text-based approaches

    Heartbeat disease diagnosis using text-based approaches by Khorasani, Ehsan Safar

    Published 2011
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  8. 8
    Automated marking of linear algebraic equation using n-gram method / Arsmah Ibrahim ... [et al.]

    Automated marking of linear algebraic equation using n-gram method / Arsmah Ibrahim ... [et al.] by Ibrahim, Arsmah, A Bakar, Zainab, Othman, Nuru'l - 'Izzah, Ismail, Nur Fuzaina

    Published 2007
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  9. 9
    A review on sentiment analysis model Chinese Weibo text

    A review on sentiment analysis model Chinese Weibo text by Dawei Wang, Rayner Alfred

    Published 2020
    “…In word segmentation, related algorithms can be divided into three categories: based on string matching, based on understand and based on statistics [1]. …”
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