mlsanityData to 14 Oct 2026

Qabas: An Open-Source Arabic Lexicographic Database

arXiv 2406.06598 ↗First posted 6 Jun 2024cs.CL cs.AIcited by 4

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Abstract (arXiv)

We present Qabas, a novel open-source Arabic lexicon designed for NLP applications. The novelty of Qabas lies in its synthesis of 110 lexicons. Specifically, Qabas lexical entries (lemmas) are assembled by linking lemmas from 110 lexicons. Furthermore, Qabas lemmas are also linked to 12 morphologically annotated corpora (about 2M tokens), making it the first Arabic lexicon to be linked to lexicons and corpora. Qabas was developed semi-automatically, utilizing a mapping framework and a web-based tool. Compared with other lexicons, Qabas stands as the most extensive Arabic lexicon, encompassing about 58K lemmas (45K nominal lemmas, 12.5K verbal lemmas, and 473 functional-word lemmas). Qabas is open-source and accessible online at https://sina.birzeit.edu/qabas.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 9 of its 36 references that are in the map. First posted on arXiv 6 Jun 2024.

Builds on

9 of 36 references.

References · 9

  1. 2016ConceptNet 5.5: An Open Multilingual Graph of General Knowledgecited by 1,067
  2. 2020A Panoramic Survey of Natural Language Processing in the Arab Worldcited by 45
  3. 2022Wojood: Nested Arabic Named Entity Corpus and Recognition using BERTcited by 33
  4. 2022The Arabic Ontology -- An Arabic Wordnet with Ontologically Clean Contentcited by 19
  5. 2022ArabGlossBERT: Fine-Tuning BERT on Context-Gloss Pairs for WSDcited by 18
  6. 2023Nabra: Syrian Arabic Dialects with Morphological Annotationscited by 11
  7. 2023A Benchmark and Scoring Algorithm for Enriching Arabic Synonymscited by 10
  8. 2023SALMA: Arabic Sense-Annotated Corpus and WSD Benchmarkscited by 10
  9. 2023Context-Gloss Augmentation for Improving Arabic Target Sense Verificationcited by 6

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Citing papers per year: 2024: 2; 2025: 2.

4 papers.