Arabic Wordnet

Arabic WordNet is a lexical database organizing Arabic words into synsets (sets of synonyms) to support natural language processing (NLP) tasks. Current research focuses on improving the quality and completeness of existing WordNets, addressing issues like inaccurate definitions and limited lexical coverage, often employing techniques like fine-tuning pre-trained transformer models such as BERT for tasks like word sense disambiguation. These advancements are crucial for enhancing the accuracy and effectiveness of various NLP applications in Arabic, including text simplification and machine translation, ultimately contributing to a more robust and nuanced understanding of the language by computational systems.