Papers by Ammar Alsalka

1 papers
Constructing a Bilingual Hadith Corpus Using a Segmentation Tool (2020.lrec-1)

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Challenge: Existing studies on Hadith have focused on the Quran, leaving it relatively unexplored.
Approach: They propose to gather and construct a bilingual parallel corpus of Islamic Hadith using a custom segmentation tool that annotates the two Hadithe components with 92% accuracy.
Outcome: The proposed method minimises the costs of language resource creation and produces consistent results independently from previous knowledge and experiences that usually influence human annotators.

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