Named entity recognition is an involved task and is one that usually requires the usage of numerous resources. Recognizing Arabic entities is an even more difficult task due to the inherent ambiguity of the Arabic language. Previous approaches that have tackled the problem of Arabic named entity recognition have used Arabic parsers and taggers combined with a huge set of gazetteers and sometime...

This paper describes the parallel development of an Egyptian Arabic Treebank and a morphological analyzer for Egyptian Arabic (CALIMA). By the very nature of Egyptian Arabic, the data collected is informal, for example Discussion Forum text, which we use for the treebank discussed here. In addition, Egyptian Arabic, like other Arabic dialects, is sufficiently different from Modern Standard Arab...

This study aims at exploring demonstratives in two dialects: Hodeidi Yemeni Arabic and Taizi Arabic, comparing them to Modern Standard Arabic. The description of the dialects along with focused on tracing syntactic semantic evidence they are like exhibit. model used undertake analysis follows Diessel (1999). Although attracted considerable scholarly attention, literature reflects a scarcity res...

We present QCRI’s Arabic-to-English speech translation system. It features modern web technologies to capture live audio, and broadcasts Arabic transcriptions and English translations simultaneously. Our Kaldi-based ASR system uses the Time Delay Neural Network architecture, while our Machine Translation (MT) system uses both phrase-based and neural frameworks. Although our neural MT system is ...

there is no doubt that fantastic whispers and melodies of love terms, which have found its way into sonnet envelope through the body of arabic poetry and literature and drew poets’ attention ever- increasingly and welcomed by them, were followed by a type of verse that was seriously affected by charming and nice odes recited by well-known literary characters at age of jahelid. at the beginning ...

We develop a framework for using the Natural Language Toolkit (NLTK) to parse Quranic Arabic sentences. This framework supports the construction of a treebank for the Holy Quran. The proposed model succeeds in parsing different Quranic chapters (Suras) in addition to Modern Standard Arabic (MSA) sentences. The availability of such parser will be useful in various natural language processing app...

One of the most significant discussions in forensics is Audio Deepfake, where AI-generated tools are used to clone audio content people’s voices. Although it was intended improve lives, attackers utilized maliciously, compromising public’s safety. Thus, Machine Learning (ML) and Deep (DL) methods have been developed detect imitated or synthetically faked However, suffered from massive training ...

intertextuality of literary-historic figures is one of the artistic techniques of poetry in modern era being used a lot by contemporary arab poets. because of their proximity to arab contemporary poets, the previous classic poets have a great share of the call.among the previous poets, abul ‘ala al-ma‘arri, known as the philosopher of the poets, with his philosophical attitudes and strange life...

The Quranic Arabic Corpus (http://corpus.quran.com) is an annotated linguistic resource with multiple layers of annotation including morphological segmentation, part-of-speech tagging, and syntactic analysis using dependency grammar. The motivation behind this work is to produce a resource that enables further analysis of the Quran, the 1,400 year old central religious text of Islam. This paper...

This paper presents the study that we have carried out to investigate supervised opinion summarization in Modern Standard Arabic. We use a corpus of news articles. We use conditional random fields (CRF) as machine learning technique. We investigate some features to identify those that allow achieving the best results. Our contribution is to use opinion specific features to summarize Arabic news...