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# Derivational Relations in Arabic WordNet

**Authors:** Mohamed Ali Batita; Mounir Zrigui · **Year:** 2018 · **Venue:** Proceedings of the 9th Global Wordnet Conference **Link:** [aclanthology.org/2018.gwc-1.16](https://aclanthology.org/2018.gwc-1.16/) · library `aclbulk-2018-batita-derivational-relations-arabic-wordnet` · **Licence:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) (ACL Anthology)

[**16** citations](https://openalex.org/works?filter=cites:W3157442836) openalex · 2026-10-18[**1** citations in our library](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2018-batita-derivational-relations-arabic-wordnet/) of the 140673 papers whose bibliographies we read[Proceedings of the 9th Global Wordnet Conference](https://aclanthology.org/volumes/2018.gwc-1/)[licence](https://creativecommons.org/licenses/by/4.0/)

- [Publisher's page](https://aclanthology.org/2018.gwc-1.16/)
- [PDF](https://aclanthology.org/2018.gwc-1.16.pdf)
- [DOI 10.18653/v1/2018.gwc-1.16](https://doi.org/10.18653/v1/2018.gwc-1.16)
- [OpenAlex](https://openalex.org/W3157442836)

**Authors (2)**

1. [Mohamed Ali Batita](https://openalex.org/A5075908755) h 3 · 34 citations · 4 works
2. [Mounir Zrigui](https://openalex.org/A5022321580) [ORCID](https://orcid.org/0000-0002-4199-8925) · [Semantic Scholar](https://www.semanticscholar.org/author/1727395) · h 21 · 1772 citations · 268 works

Citations and author metrics from openalex (2026-10-18); authors with the same name are not always told apart.

## What it is about

The Arabic WordNet has many synsets but few cross-POS links between words that share a root, such as a verb and its agent noun. The authors group the entries by root into "bags of words" (the paper reports 6,608 bags and works with 5,462 of them), then apply transformation rules keyed on the verb class and the pattern, and add the derivational relation each rule licenses. A lexicographer checks the rules and the output; no automatic validation is used. The bags containing verbs (4,275) are sorted by verb form. The method adds 8,865 new relations to the existing set, giving 50,001 in all. The paper reports no precision or recall figure, only the lexicographer check.

## Ideas

- I1. Root bags as a first step: group the entries of `macula dict` by root. The dictionary has lemmas and Strong's numbers but no roots yet, so a root source comes first. Measure how many bags contain more than one POS.
- I2. A verb-class key for the rules: the paper's derived nouns depend on the verb form. For Hebrew, key the rule on the binyan (qal, niphal, piel, hiphil, hitpael) and derive the noun or adjective form from it, as a table in [The verb](https://md.mova.elamur.ai/free/en/docs/languages/hbo/06-verb/).
- I3. A sampled-precision check: draw a fixed random sample of any new links, check each by hand, and report the rate with its date, before any added relation enters `world` or the dictionary.

## For Mova

I1 goes into `tools/macula` (the dictionary and its roots) and [The lexicon](https://md.mova.elamur.ai/free/en/docs/languages/hbo/10-lexicon/). I2 goes into [The verb](https://md.mova.elamur.ai/free/en/docs/languages/hbo/06-verb/) and the lexicon. I3 is a test to run before any derived relation is used. Arabic is not a Mova target language; the rule design (root bags, class-keyed rules, a sampled check) is what carries over.

## Cite

The paper itself, not this card. BibTeX from the library's record of the work. [DOI 10.18653/v1/2018.gwc-1.16](https://doi.org/10.18653/v1/2018.gwc-1.16)

```
@inproceedings{batita2018derivational,
  title = {{Derivational Relations in Arabic WordNet}},
  author = {Batita, Mohamed Ali and Zrigui, Mounir},
  booktitle = {Proceedings of the 9th Global Wordnet Conference},
  year = {2018},
  doi = {10.18653/v1/2018.gwc-1.16},
  url = {https://doi.org/10.18653/v1/2018.gwc-1.16}
}
```

- [← previous Don't Throw Those Morphological Analyzers Away Just Yet: Neural Morphological Disambiguation for Arabic](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2017-zalmout-don-t-throw-those-morphological/)
- [next → An OpenNMT Model to Arabic Broken Plurals](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2018-issa-opennmt-model-arabic-broken-plurals/)
- [↑ back to Semitic languages](https://md.mova.elamur.ai/free/en/docs/papers/sem/)

## References

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