MURAD: A Large-Scale Multi-Domain Unified Reverse Arabic Dictionary Dataset
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866911406188658688 |
|---|---|
| author | Sibaee, Serry Alhabashi, Yasser Sibai, Nadia Farouk, Yara Ammar, Adel AlHalawani, Sawsan Boulila, Wadii |
| author_facet | Sibaee, Serry Alhabashi, Yasser Sibai, Nadia Farouk, Yara Ammar, Adel AlHalawani, Sawsan Boulila, Wadii |
| contents | Arabic is a linguistically and culturally rich language with a vast vocabulary that spans scientific, religious, and literary domains. Yet, large-scale lexical datasets linking Arabic words to precise definitions remain limited. We present MURAD (Multi-domain Unified Reverse Arabic Dictionary), an open lexical dataset with 96,243 word-definition pairs. The data come from trusted reference works and educational sources. Extraction used a hybrid pipeline integrating direct text parsing, optical character recognition, and automated reconstruction. This ensures accuracy and clarity. Each record aligns a target word with its standardized Arabic definition and metadata that identifies the source domain. The dataset covers terms from linguistics, Islamic studies, mathematics, physics, psychology, and engineering. It supports computational linguistics and lexicographic research. Applications include reverse dictionary modeling, semantic retrieval, and educational tools. By releasing this resource, we aim to advance Arabic natural language processing and promote reproducible research on Arabic lexical semantics. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_21512 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | MURAD: A Large-Scale Multi-Domain Unified Reverse Arabic Dictionary Dataset Sibaee, Serry Alhabashi, Yasser Sibai, Nadia Farouk, Yara Ammar, Adel AlHalawani, Sawsan Boulila, Wadii Computation and Language Computers and Society Databases Information Retrieval Arabic is a linguistically and culturally rich language with a vast vocabulary that spans scientific, religious, and literary domains. Yet, large-scale lexical datasets linking Arabic words to precise definitions remain limited. We present MURAD (Multi-domain Unified Reverse Arabic Dictionary), an open lexical dataset with 96,243 word-definition pairs. The data come from trusted reference works and educational sources. Extraction used a hybrid pipeline integrating direct text parsing, optical character recognition, and automated reconstruction. This ensures accuracy and clarity. Each record aligns a target word with its standardized Arabic definition and metadata that identifies the source domain. The dataset covers terms from linguistics, Islamic studies, mathematics, physics, psychology, and engineering. It supports computational linguistics and lexicographic research. Applications include reverse dictionary modeling, semantic retrieval, and educational tools. By releasing this resource, we aim to advance Arabic natural language processing and promote reproducible research on Arabic lexical semantics. |
| title | MURAD: A Large-Scale Multi-Domain Unified Reverse Arabic Dictionary Dataset |
| topic | Computation and Language Computers and Society Databases Information Retrieval |
| url | https://arxiv.org/abs/2601.21512 |