Measuring Similarity English Translations of Surah Al-Fatihah using Computational Methods

Kholed Langsari

doi:10.53840/myjict7-2-164

Authors

Kholed Langsari Faculty of Science and Technology Fatoni University

DOI:

https://doi.org/10.53840/myjict7-2-164

Keywords:

Al-Fatihah, Text Mining, TF-IDF, Cosine similarity

Abstract

The similarity measurement between different English translations of Surah Al-Fatihah using four computational methods is performed. This study was conducted using Bag of Words, Term-Frequency (TF), Term-Frequency–Inverse Document Frequency (TF-IDF) and Cosine Similarity Latent Semantic Indexing (LSI). In the process, I used four translators of Surah Al Fatihah (ibn Kathir, Yusuf Ali, al Saadi, Al Tabari). This paper proposed an approach to discover similarity links between four translations of Surah Al-Fatihah, using the cosine similarity proposed method. The results from the proposed method serve new valuable in similarity measuring between the English translations of Surah Al Fatihah. The presented results could be used for classification of English translations and comparison for future translations and understanding of the Holy Quran word.

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