Translating Quran Verses Result using Indexed References: Array

Documents translations are still ambiguous when we translate them using by word, by phrase or by context technically

separately and based on different readers’ understandings. Typically, the documents translation in different languages is found not well

structured technically that leads to the misunderstanding amongst readers. Hence, there is a necessity for improving the Quran

documents translation for providing the right sentences (ayats) in other languages as better as possible technically. The concept of

source language and target languages is most importantly in designing the right algorithm as new approach for explaining the source

of documents language in the form of the target of documents languages. In designing a new approach based on the said concept, the

indexing technique is necessarily for retrieving the target translation from target language as called as multilingual information retrieval

(MLIR). Thus, this paper proposes the Indexed References for retrieving the target-translated documents based on the structure index

of each document (text file). Thus, Quran documents are translated easier based on unique structure index of each documents either

indexing each Surah (Chapters) or indexing each Ayah (Verses) plus Surah as a unique reference. The documents translations retrieval

based on Indexed Reference technique is more accurate at 99.99% comparing to the experimental separation of by word, by phrase and

by concept translation technique. The proposed technique is useful for documents-to- documents translation retrieval in all languages

of world.