Poster

WEKA for the Machine Learning of Quran Verb Aspect and Tense in Arabic to English Translation

Authors:
Jawharah Alasmari at University of Leeds
Jawharah Alasmari
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Abstract

WEKA) is used in order to train and test WEKA machine learning classifiers on Arabic verbs perfect and imperfect aspect and their English tense and aspect translations based on the predictive function of candidate features by using the dataset of Arabic verbs-in- Quran context.

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