In recent times, there has been a notable surge in the interest of researchers in the realm of document analysis and optical character recognition (OCR). Significant advancements have been made in OCR engines across various languages, encompassing ...

The substantiation of the causal relationships behind its development is very important in identifying possible interventions and early treatment. Knowledge Graphs (KG) play a crucial role in the medical research domain by organizing data into ...

This paper investigates the geometric patterns inherent in Arabic poetry rhythms, uncovering attributes that likely contribute to their historical popularity. Through comprehensive analysis, we identified a combination of computational geometric ...

This work investigates the processing behavior of large language models (LLMs) in sentences involving ambiguous relative clauses (RCs). We are particularly interested in unravelling attachment preferences of LLMs in disambiguating RCs (...

Cultural heritage institutions store and digitize large amounts of bibliographic data within archives to make records accessible to archivists, librarians, and the general public. However, cataloging standards vary from one archive to another, ...

We introduce SinaTools, an open-source Python package for Arabic natural language processing and understanding. SinaTools is a unified package allowing people to integrate it into their system workflow, offering solutions for various tasks such as ...

We introduce Alma (^ﺍﺍ ﻠ_ى), an open-source and state-of-the-art lemmatizer, POS tagger, and root tagger for Arabic, boasting both high speed and accuracy. Alma relies on a dictionary of morphological solutions ordered by the frequency of these ...

Arabic poses a unique challenge for Natural Language Processing tasks due to its morphological complexity, rich vocabulary, and syntactic flexibility. Mistakes written in Arabic are common even among fluent speakers, and slight mistakes can ...

Sentiment Analysis (SA) is a crucial task in natural language processing. There are numerous studies devoted to this field specially with emerging use of encoder transformers and generative Large Language Models (LLMs). Transformer based models ...

Automatic Text Summarization (ATS) is one of the fastest-growing areas of Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP). Automatic text summarizing aims to create summaries by extracting relevant ...

In this paper we have shown the development of English to Arabic Braille Neural Machine Translation (NMT) System. For our experiments we have developed two NMT systems. The first was the baseline NMT system which was trained only on the English-...

Swiss German dialects pose significant challenges for natural language processing (NLP) applications, due to their lack of standard orthography, linguistic diversity, and scarcity of annotated data. We introduce a novel method for normalizing ...

The field of computational linguistics has been impacting various issues in language disciplines. The enormous growth of machine learning algorithms and Natural Language Processing (NLP) empowers its advancement and brings huge benefits to ...

In this research, we employ DistilBERT to generate extractive summaries and the T5 model for abstractive summaries. We also create hybrid summaries by integrating the DistilBERT and T5 models. Central to our study is the implementation of a GPT-...

Developing Natural Language Processing (NLP) tools for the Arabic language and its dialects is very challenging. Named Entity Recognition (NER) is one of these challenges, which serves as the core component in many NLP systems such as information ...

This paper presents an innovative, custom Hindi Speech Corpus dedicated to assessing the positive intensity in Hindi language. By meticulously gathering voice samples from individuals across diverse demographics, this corpus is well crafted for ...

The rapid growth of Natural Language Processing (NLP) applications has gained interest in various languages, including Arabic. One critical NLP task is Aspect-Based Sentiment Analysis (ABSA). ABSA involves identifying the sentiment expressed ...

Co-reference resolution is a longstanding research problem that researchers have been working to solve for the past fifty years. It is a crucial task in numerous Natural Language Processing (NLP) applications, such as Machine Translation (MT), ...