Qabas: An Open-Source Arabic Lexicographic Database

Mustafa Jarrar, Tymaa Hammouda
6/6/2024
cs.CLcs.AI

No confident code implementation found for this paper. 1 possible match can be shown below.

Abstract

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.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 1 weaker match is hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{jarrar2024qabas,
  title  = {Qabas: An Open-Source Arabic Lexicographic Database},
  author = {Mustafa Jarrar and Tymaa Hammouda},
  year   = {2024},
  eprint = {2406.06598},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2406.06598v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2406.06598.svg)](https://codeofpaper.com/paper/2406.06598)

Discussion