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Quranic Verses Semantic Relatedness Using AraBERT
Bidirectional Encoder Representations from Transformers (BERT) has gained popularity in recent years producing state-of-the-art performances across Natural Language Processing tasks.
Automatic Hadith Segmentation using PPM Compression
In this paper we explore the use of Prediction by partial matching (PPM) compression based to segment Hadith into its two main components (Isnad and Matan).
Classifying Verses of the Quran using Doc2vec
The Quran, as a significant religious text, bears important spiritual and linguistic values.
LK2022 at Qur’an QA 2022: Simple Transformers Model for Finding Answers to Questions from Qur’an
Question answering is a specialized area in the field of NLP that aims to extract the answer to a user question from a given text.
WEKA in Forensic Authorship Analysis: A corpus-based approach of Saudi Authors
This is a pilot study that aims to explore the potential of using WEKA in forensic authorship analysis.
Challenging the Transformer-based models with a Classical Arabic dataset: Quran and Hadith
Transformer-based models showed near-perfect results on several downstream tasks.
Ta'keed: The First Generative Fact-Checking System for Arabic Claims
This paper introduces Ta'keed, an explainable Arabic automatic fact-checking system.
Constructing a Bilingual Hadith Corpus Using a Segmentation Tool
This article describes the process of gathering and constructing a bilingual parallel corpus of Islamic Hadith, which is the set of narratives reporting different aspects of the prophet Muhammad{'}s life.
Arabic Language WEKA-Based Dialect Classifier for Arabic Automatic Speech Recognition Transcripts
This paper describes an Arabic dialect identification system which we developed for the Discriminating Similar Languages (DSL) 2016 shared task.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Multi-Level Analysis and Annotation of Arabic Corpora for Text-to-Sign Language MT
In this paper, we present an ongoing effort in lexical semantic analysis and annotation of Modern Standard Arabic (MSA) text, a semi automatic annotation tool concerned with the morphologic, syntactic, and semantic levels of description.
Compilation of an Arabic Children's Corpus
Inspired by the Oxford Children{'}s Corpus, we have developed a prototype corpus of Arabic texts written and/or selected for children.
An Empirical Study of Arabic Formulaic Sequence Extraction Methods
This paper aims to implement what is referred to as the collocation of the Arabic keywords approach for extracting formulaic sequences (FSs) in the form of high frequency but semantically regular formulas that are not restricted to any syntactic construction or semantic domain.
Tools for Arabic Natural Language Processing: a case study in qalqalah prosody
In this paper, we focus on the prosodic effect of qalqalah or {``}vibration{''} applied to a subset of Arabic consonants under certain constraints during correct Qur{'}anic recitation or ta{\c{C}}{\S}w{\=\i}d, using our Boundary-Annotated QurÂ’an dataset of 77430 words (Brierley et al 2012; Sawalha et al 2014).
A Comparative Study of Machine Learning Methods for Verbal Autopsy Text Classification
We report on a comparative study of the processes involved in Text Classification applied to classifying Cause of Death: feature value representation; machine learning classification algorithms; and feature reduction strategies in order to identify the suitable approaches applicable to the classification of Verbal Autopsy text.
LAMP: A Multimodal Web Platform for Collaborative Linguistic Analysis
We provide a description of the underlying software system that has been used to develop the corpus annotations.
Predicting Phrase Breaks in Classical and Modern Standard Arabic Text
We train and test two probabilistic taggers for Arabic phrase break prediction on a purpose-built, gold standard, boundary-annotated and PoS-tagged Qur'an corpus of 77430 words and 8230 sentences.
QurSim: A corpus for evaluation of relatedness in short texts
This paper presents a large corpus created from the original Quranic text, where semantically similar or related verses are linked together.
QurAna: Corpus of the Quran annotated with Pronominal Anaphora
These antecedents are maintained as an ontological list of concepts, which have proved helpful for information retrieval tasks.
Open-Source Boundary-Annotated Corpus for Arabic Speech and Language Processing
We take a novel approach to phrase break prediction for Arabic, deriving our prosodic annotation scheme from Tajw{\=\i}d (recitation) mark-up in the Qur'an which we then interpret as additional text-based data for computational analysis.
