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  1. 1
    Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani

    Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani by Seyed Asadollah, Abdiesfandani

    Published 2016
    “…The algorithm simulates two important tasks that are frequently used by the human experts to identify summarizing strategies used to produce the summary sentences: 1) sentences relevance identification; and 2) summarizing strategies identification. …”
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  2. 2
    Identifying Students' Summary Writing Strategies Using Summary Sentence Decomposition Algorithm

    Identifying Students' Summary Writing Strategies Using Summary Sentence Decomposition Algorithm by Idris, Norisma, Baba, Mohd Sapiyan, Abdullah, Rukaini

    Published 2011
    “…We first analyzed experts' written summaries, extracted the strategies used in the summaries, formulated a set of heuristics rules to define the strategies and finally transformed the rules using position-based method into summary sentence decomposition algorithm (SSDA). …”
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  3. 3
    Sentiment classification for malay newspaper using clonal selection algorithm / Nur Fitri Nabila Mohamad Nasir

    Sentiment classification for malay newspaper using clonal selection algorithm / Nur Fitri Nabila Mohamad Nasir by Mohamad Nasir, Nur Fitri Nabila

    Published 2013
    “…Firstly, the data was dividing by ratio 80:20 from 1000 sentences. Therefore, 80% from 1000 sentences will use for training and 20% from 1000 sentences use for testing. …”
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  4. 4
    Sentiment analysis for malay newspaper (SAMNews) using negative selection algorithm / Nur Amalina Redzuan

    Sentiment analysis for malay newspaper (SAMNews) using negative selection algorithm / Nur Amalina Redzuan by Redzuan, Nur Amalina

    Published 2013
    “…In Experiment II, 800 newspaper’s sentences and 200 newspaper’s sentences are used as the training data and testing data. …”
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  5. 5
    A Summary Sentence Decomposition Algorithm for Summarizing Strategies Identification

    A Summary Sentence Decomposition Algorithm for Summarizing Strategies Identification by Idris, N., Baba, S., Abdullah, R.

    Published 2009
    “…This paper reports on our effort to develop an algorithm to identify the summarizing strategies employed by students using summary sentence decomposition. …”
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  6. 6
    Visualisasi pohon sintaksis berasaskan model dan algoritma sintaks ayat bahasa Melayu

    Visualisasi pohon sintaksis berasaskan model dan algoritma sintaks ayat bahasa Melayu by Yusnita, Muhamad Noor

    Published 2018
    “…In term of rules, previous studies have used phrase-structure rules (RSF) in analysing the Malay sentence. …”
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  7. 7
    BMTutor research design: Malay sentence parse tree visualization

    BMTutor research design: Malay sentence parse tree visualization by Muhamad Noor, Yusnita, Jamaludin, Zulikha

    Published 2014
    “…As a result of the lack of models and algorithms have been introduced in both parsers, the model and algorithm development phase is introduced in the design of BMTutor.Output from the development process shows that the prototype is able to provide sentence correction for all 15 invalid sentences and can produce parse tree visualizations for all 20 sentences used for prototype testing.…”
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    Conference or Workshop Item
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  8. 8
    Parse tree visualization for Malay sentence (BMTutor)

    Parse tree visualization for Malay sentence (BMTutor) by Muhamad Noor, Yusnita, Jamaludin, Zulikha

    Published 2015
    “…It is also to enhance the learning process in BM that can be used by communities, especially students. An algorithm in designing BMTutor is discussed in this paper.The algorithm of the software is done sequentially as followed: 1) tokenizing 2) checking the number of words, 3) searching and comparing process to check the spelling or conjunctions, 4) assigning each word with a certain word class, 5) matching with rules, and 6) delivering/producing output (sentence correction or parse tree visualization, word attribute components, and parse tree from sentence examples).Based on the testing conducted, output from the development process shows that the prototype can correct all 15 invalid sentences and can produce parse tree visualization for all 20 sentences.…”
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  9. 9
    A Rough Set-Based Approach for Identifying and Replacing Missing Concepts in Incomplete Sentences in Computer Domain Texts

    A Rough Set-Based Approach for Identifying and Replacing Missing Concepts in Incomplete Sentences in Computer Domain Texts by Nur Faiqah ‘Aqilah binti Fuaad

    Published 2026
    thesis::master thesis
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  10. 10
    Automated sentence boundary detection for spontaneous speech in Malay language / Muhammad Izzad Ramli

    Automated sentence boundary detection for spontaneous speech in Malay language / Muhammad Izzad Ramli by Ramli, Muhammad Izzad

    Published 2013
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  11. 11
    Integrating finance dictionary in lexicon-based approach with machine learning algorithm to analyse the impact of OPEC news sentiment on financial market / Wu Ling

    Integrating finance dictionary in lexicon-based approach with machine learning algorithm to analyse the impact of OPEC news sentiment on financial market / Wu Ling by Wu, Ling

    Published 2020
    “…To carry out the research, firstly, lexicon-based approach is used to analyze the sentiment of sentences in the financial news articles. …”
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  12. 12
    Using Heuristic Rules from Sentence Decomposition of Experts' Summaries to Detect Students' Summarizing Strategies

    Using Heuristic Rules from Sentence Decomposition of Experts' Summaries to Detect Students' Summarizing Strategies by Idris, N., Baba, S., Abdullah, R.

    Published 2008
    “…Sentence decomposition of expert-written summaries is used to analyze how experts produce their summary sentences. …”
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  13. 13
    Arabic Speaker Identification System for Forensic Authentication Using K-NN Algorithm

    Arabic Speaker Identification System for Forensic Authentication Using K-NN Algorithm by Abdulwahid S., Mahmoud M.A., Abdulwahid N.

    Published 2023
    Conference Paper
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  14. 14
    A question answering system in hadith using linguistic knowledge

    A question answering system in hadith using linguistic knowledge by Abdi, Asad, Hasan, Shafaatunnur, Arshi, Mohammad, Shamsuddin, Siti Mariyam, Idris, Norisma

    Published 2020
    “…Furthermore, in order to reduce redundant Hadith texts, the proposed method uses the greedy algorithm to impose diversity penalty on the sentences. …”
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  15. 15
    Representing semantics of text by acquiring its canonical form

    Representing semantics of text by acquiring its canonical form by Taiye, Mohammed Ahmed, Kamaruddin, Siti Sakira, Ahmad, Farzana Kabir

    Published 2017
    “…These algorithms concentrate mainly on disambiguating senses in words, phrases and sentences. …”
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  16. 16
    Extractive and Abstractive Sentence Labelling of Sentiment-bearing Topics

    Extractive and Abstractive Sentence Labelling of Sentiment-bearing Topics by Mohamad Hardyman, Barawi, Lin, Chenghua, Siddharthan, Advaith, Liu, Yinbing

    Published 2019
    “…The extractive approach uses a sentence ranking algorithm for label selection which for the first time jointly optimises topic-sentence relevance as well as aspect-sentiment co-coverage. …”
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  17. 17
    JTAGGER

    JTAGGER by YAACOB, NORHANA

    Published 2006
    “…In this project, rule-based tagging algorithm is used as the mechanism to develop the system which named JTagger. …”
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    Final Year Project
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  18. 18
    Enhancement of feature sets for subjectivity analysis on Malay-English code-switching text

    Enhancement of feature sets for subjectivity analysis on Malay-English code-switching text by Kasmuri, Emaliana

    Published 2023
    “…A code-switching sentence is a sentence that is constructed using two or more languages. …”
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  19. 19
    Rough Set Model For Component Extraction

    Rough Set Model For Component Extraction by Nur Faiqah ’Aqilah Fuaad, Nur Fatin Nabila Mohd Rafei Heng, Nurlida Basir, Nurzi Juana Mohd Zaizi

    Published 2024
    journal::journal article
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  20. 20
    An Algorithm for Summarizing Strategies Identification

    An Algorithm for Summarizing Strategies Identification by Idris, N., Mohd Sapiyan, B., Abdullah, R.

    Published 2008
    “…Thus, this paper proposed an algorithm to identify the summarizing strategies employed by students using summary sentence decomposition. …”
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