NLP中的古兰经内容表示

Proceedings of the 10th International Conference on Information Systems and Technologies Pub Date : 2020-06-04 DOI:10.1145/3447568.3448552

Zineb Touati Hamad, Mohamed Ridda Laouar, Issam Bendib

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引用次数: 2

摘要

词表示是自然语言处理(NLP)的一个起点。这些表示将单词转换为给定长度的符号向量，从而揭示隐藏的语言和语义相似性。本文介绍了用于阿拉伯语《古兰经》文本内容的各种单词表示工具的研究，其中包括两种主要的表示形式:局部表示和分布式表示，目的是在不同的人工智能子集中使用它们，如需要NLP的“机器学习”和“深度学习”算法。

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Quran content representation in NLP

Word representation is a starting point for Natural Language Processing (NLP). These representations transform words into symbolic vectors of a given length that reveal the hidden linguistic and semantic similarities. This paper presents a study of the various word representation tools used for the content of the texts of the holy Quran in Arabic, which include the two main representation forms: Local representation and Distributed representation, with the aim of using them in different artificial intelligence subsets such as "machine learning" and "deep learning" algorithms that require NLP.

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Proceedings of the 10th International Conference on Information Systems and Technologies

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