---
title: "Arabic WordNet and the Challenges of Arabic — Elkateb 2006"
description: "The paper describes how Arabic WordNet (AWN), a lexical database for Modern Standard Arabic, is… 18 references, cited by 11 papers here."
authors: ["Sabri Elkateb", "William Black", "Piek Vossen", "David Farwell", "Horacio Rodríguez", "Adam Pease", "Musa Alkhalifa", "Christiane Fellbaum"]
year: 2006
venue: "Proceedings of the International Conference on the Challenge of Arabic for NLP/MT"
source: "https://aclanthology.org/2006.bcs-1.2/"
licence: "CC BY-NC-SA 3.0 (ACL Anthology, before 2016)"
licence_url: "https://creativecommons.org/licenses/by-nc-sa/3.0/"
summary_licence: "Elamur Cosmic License"
canonical: "https://research.elamur.ai/free/en/papers/elkateb-2006-arabic-wordnet-challenges-arabic/"
---
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# Arabic WordNet and the Challenges of Arabic

**Authors:** [Sabri Elkateb](https://md.research.elamur.ai/free/en/authors/sabri-elkateb/), [William Black](https://md.research.elamur.ai/free/en/authors/william-black/), [Piek Vossen](https://md.research.elamur.ai/free/en/authors/piek-vossen/), [David Farwell](https://md.research.elamur.ai/free/en/authors/david-farwell/), [Horacio Rodríguez](https://md.research.elamur.ai/free/en/authors/horacio-rodriguez/), [Adam Pease](https://md.research.elamur.ai/free/en/authors/adam-pease/), [Musa Alkhalifa](https://md.research.elamur.ai/free/en/authors/musa-alkhalifa/) and [Christiane Fellbaum](https://md.research.elamur.ai/free/en/authors/christiane-fellbaum/) · **Year:** 2006 · **Venue:** [Proceedings of the International Conference on the Challenge of Arabic for NLP/MT](https://md.research.elamur.ai/free/en/venues/bcs/) ([International Conference on the Challenge of Arabic for NLP/MT 2006](https://md.research.elamur.ai/free/en/venues/bcs/2006/)) · **Licence:** [CC BY-NC-SA 3.0 (ACL Anthology, before 2016)](https://creativecommons.org/licenses/by-nc-sa/3.0/)

**Links:** [Publisher's page](https://aclanthology.org/2006.bcs-1.2/) · [PDF](https://aclanthology.org/2006.bcs-1.2.pdf)

**Citations:** [11](https://md.research.elamur.ai/free/en/papers/elkateb-2006-arabic-wordnet-challenges-arabic/cited-by/) in our library, of the 149,439 papers whose bibliographies we read

## Summary
The paper describes how Arabic WordNet (AWN), a lexical database for Modern Standard Arabic, is being built and what makes Arabic difficult for this kind of resource. AWN follows the design of Princeton WordNet (PWN) and the EuroWordNet (EWN) construction method, so it can be aligned with PWN 2.0 and EWN and support word-level translation into many languages. Construction is top-down. A manually encoded core of base concepts comes first, and it is then extended through hyponymy chains. Synsets are chosen for connectivity, frequency and generality. Each synset is also tied to the SUMO upper ontology, which supplies formal first-order definitions.

The authors discuss several language-specific obstacles:
- diacritics are usually omitted in text, yet they decide the meaning of a word;
- there is no capitalization to signal proper names;
- the morphology is root-and-pattern based and very productive.

They also survey existing morphological analysers. Their main proposal is to use SUMO, not English PWN, as the Interlingual Index, which would make cross-language linking less biased toward English.

## Key points
- AWN reuses the EWN method. It starts by encoding the Common Base Concepts shared by the 12 languages of EWN and BalkaNet, then adds Arabic-specific concepts and all English synsets that already have a SUMO equivalence.
- Synset selection rests on three criteria: connectivity (a topology similar to PWN), relevance (word and root frequency in corpora) and generality (higher-level synsets first). Construction runs in both directions, English→Arabic and Arabic→English.
- Most written Arabic omits short-vowel diacritics, and few users can write them correctly. AWN should therefore accept undiacritized queries and still return the diacritized entries for disambiguation. For example, the undiacritized form ﻋﻠﻢ can mean flag, science, known, teach or famous.
- Morphology figures cited in the paper:
  - about 85% of words derive from tri-literal roots;
  - there are roughly 10,000 roots;
  - Beesley's FST system intersects roots and patterns into about 90,000 stems and over 72,000,000 abstract words;
  - Buckwalter's transliteration-based analyser can only list every possible reading of an ambiguous form.
- Tools include a lexicographer's interface modeled on EWN's with Arabic-script support, and a planned Unicode extension of the Sigma ontology environment.

## Interesting ideas
- Users may type a lossy, normalized form of a word while the system keeps and returns all fully specified forms, so the ambiguity is shown to them rather than hidden.
- Build a carefully hand-encoded core of the most important concepts first. Precise automatic extension then becomes possible because it hangs off trusted anchors.
- Use a formal ontology (SUMO) as the hub between languages instead of English synsets. A concept is then defined exhaustively through several typed relations, so even words with no English equivalent can be linked.
- Writing formal definitions for word senses doubles as a quality check, since it shows where senses should be split or merged and where glosses are unclear.
- Each construction step ends with validation of formal consistency, plus coverage checks against frequency and domain distribution.

## For Mova

How these ideas could serve Mova, our small open language model — its files, stages and tests:

- **I1** (tokens): Lemma lookup could tolerate spelling, accent and apostrophe variants and still return every candidate analysis, leaving the choice to later explainable stages.
- **I2** (world): The ontology layer could keep a small, manually verified top level from WordNet/FrameNet and grow lower levels automatically, so every inferred class traces back to a vetted base concept.
- **I3** (back): Translation through the meta-world could link target-language words to world-model concepts defined by sets of typed relations, rather than to English lemmas.
- **I4** (world): Trying to compile each WordNet sense Mova uses into a formal frame or state definition could flag senses that are too coarse or redundant for reasoning.
- **I5** (learn): Each batch of induced repair rules or silver data could be checked for consistency and for frequency and domain coverage before it is accepted.

*Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.*

📚 Shelves (2): [🖥️ Computer Science](https://md.research.elamur.ai/free/en/shelves/computer-science/) · 16,667 works · [🤖 Artificial Intelligence](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · 16,194 works

🧭 Topics (1): [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · 2,908 works

## Cite

Cite as: Sabri Elkateb, William Black, Piek Vossen, David Farwell, Horacio Rodríguez, Adam Pease, Musa Alkhalifa and Christiane Fellbaum. 2006. Arabic WordNet and the Challenges of Arabic. Proceedings of the International Conference on the Challenge of Arabic for NLP/MT.

The paper itself, not this page. BibTeX from the library's record of the work.

```bibtex
@inproceedings{elkateb2006arabic,
  title = {{Arabic WordNet and the Challenges of Arabic}},
  author = {Sabri Elkateb, William Black, Piek Vossen, David Farwell, Horacio Rodríguez, Adam Pease, Musa Alkhalifa and Christiane Fellbaum},
  booktitle = {Proceedings of the International Conference on the Challenge of Arabic for NLP/MT},
  year = {2006},
  url = {https://aclanthology.org/2006.bcs-1.2/}
}
```

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## References

18 references, 0 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet.

1. Beesley, K. (2001) Finite-State Morphological Analysis and Generation of Arabic at Xerox, ACL/EACL 2001, July 6 th , Toulouse, France : 1-8 [find](https://scholar.google.com/scholar?q=Beesley%2C+K%2E+%282001%29+Finite%2DState+Morphological+Analysis+and+Generation+of+Arabic+at+Xerox%2C+ACL%2FEACL+2001%2C+July+6+th+%2C+Toulouse%2C+France+%3A+1%2D8)
2. Black, W., Elkateb, S., Rodriguez, H, Alkhalifa, M., Vossen, P., Pease, A. and Fellbaum, C., (2006). Introducing the Arabic WordNet Project, in Proceedings of the Third International WordNet Conference, Sojka, Choi, Fellbaum and Vossen eds. [find](https://scholar.google.com/scholar?q=Black%2C+W%2E%2C+Elkateb%2C+S%2E%2C+Rodriguez%2C+H%2C+Alkhalifa%2C+M%2E%2C+Vossen%2C+P%2E%2C+Pease%2C+A%2E+and+Fellbaum%2C+C%2E%2C+%282006%29%2E+Introducing+the+Arabic+WordNet+Project%2C+in+Proceedings+of+the+Third+International+WordNet+Conferenc)
3. Black, W. J., and Elkateb, S. (2004) A Prototype English-Arabic Dictionary Based on WordNet, Proceedings of 2 nd Global WordNet Conference, GWC2004, Czech Republic, 67-74. English wordnet Dutch wordnet Spanish wordnet sr1 thee té er1 er1 tea 23 23 [find](https://scholar.google.com/scholar?q=Black%2C+W%2E+J%2E%2C+and+Elkateb%2C+S%2E+%282004%29+A+Prototype+English%2DArabic+Dictionary+Based+on+WordNet%2C+Proceedings+of+2+nd+Global+WordNet+Conference%2C+GWC2004%2C+Czech+Republic%2C+67%2D74%2E+English+wordnet+Dutch+wordne)
4. Buckwalter, T. (2002) Arabic Morphological Analysis, Http://www.qamus.org/morphology.htm De Roeck, A., and Al-Fares, W. (2000) A Morphologically Sensitive Clustering Algorithm for Identifying Arabic Roots Proceedings of the 38 th Annual Meeting of the ACL, Hong Kong, 199-206 [find](https://scholar.google.com/scholar?q=Buckwalter%2C+T%2E+%282002%29+Arabic+Morphological+Analysis%2C+Http%3A%2F%2Fwww%2Eqamus%2Eorg%2Fmorphology%2Ehtm+De+Roeck%2C+A%2E%2C+and+Al%2DFares%2C+W%2E+%282000%29+A+Morphologically+Sensitive+Clustering+Algorithm+for+Identifying+Arabic+R)
5. Dyvik, H. (2003) Translations as a semantic knowledge source: word alignment and wordnet, Section for Linguistic Studies scientific papers, University of Bergen Dyvik, H. (2002) Translations as Semantic Mirrors: From Parallel Corpus to Wordnet1. Section for Linguistic Studies scientific papers, University of Bergen Elkateb, S. (2005) Design and implementation of an English Arabic dictionary/editor. PhD thesis, The University of Manchester, United Kingdom. [find](https://scholar.google.com/scholar?q=Dyvik%2C+H%2E+%282003%29+Translations+as+a+semantic+knowledge+source%3A+word+alignment+and+wordnet%2C+Section+for+Linguistic+Studies+scientific+papers%2C+University+of+Bergen+Dyvik%2C+H%2E+%282002%29+Translations+as+Semant)
6. Elkateb, S and Black, W. J. (2004) A Bilingual Dictionary with Enriched Lexical Information, Proceedings of NEMLAR Cairo, Egypt 2004 Arabic Language Tools and Resources: 79-84 [find](https://scholar.google.com/scholar?q=Elkateb%2C+S+and+Black%2C+W%2E+J%2E+%282004%29+A+Bilingual+Dictionary+with+Enriched+Lexical+Information%2C+Proceedings+of+NEMLAR+Cairo%2C+Egypt+2004+Arabic+Language+Tools+and+Resources%3A+79%2D84)
7. Elkateb, S and Black, W. J. (2001) Towards the Design of English-Arabic Terminological Knowledge Base, Proceedings of ACL 2000, Toulouse, France:113-118 [find](https://scholar.google.com/scholar?q=Elkateb%2C+S+and+Black%2C+W%2E+J%2E+%282001%29+Towards+the+Design+of+English%2DArabic+Terminological+Knowledge+Base%2C+Proceedings+of+ACL+2000%2C+Toulouse%2C+France%3A113%2D118)
8. Elkateb, S. (1991) Translating Scientific and Technical Information from English into Arabic, Salford University. [find](https://scholar.google.com/scholar?q=Elkateb%2C+S%2E+%281991%29+Translating+Scientific+and+Technical+Information+from+English+into+Arabic%2C+Salford+University%2E)
9. Farreres, J. (2005) Creation of wide-coverage domain-independent ontologies. PhD thesis, Univertitat Politècnicade Catalunya. [find](https://scholar.google.com/scholar?q=Farreres%2C+J%2E+%282005%29+Creation+of+wide%2Dcoverage+domain%2Dindependent+ontologies%2E+PhD+thesis%2C+Univertitat+Polit%C3%A8cnicade+Catalunya%2E)
10. Fellbaum, C., (1998, ed.) WordNet: An Electronic Lexical Database. Cambridge, MA: MIT Press. [find](https://scholar.google.com/scholar?q=Fellbaum%2C+C%2E%2C+%281998%2C+ed%2E%29+WordNet%3A+An+Electronic+Lexical+Database%2E+Cambridge%2C+MA%3A+MIT+Press%2E)
11. Heyboer, B. (2002) Wizard of the New Wordsmiths, His idea to link words rewrote the dictionary, Interview with Miller, G. in Star-Ledger Newspaper, Tuesday, January 22, 2002 [http://www.nj.com/news/ledger/index.ssf?/page1/ledger/15a30b1.html](http://www.nj.com/news/ledger/index.ssf?/page1/ledger/15a30b1.html) [↗](http://www.nj.com/news/ledger/index.ssf?/page1/ledger/15a30b1.html)
12. Jansen, P. (2004) Lexicography in an Interlingual Ontology: An Introduction to EuroWordNet, Canadian Undergraduate Journal of Cognitive Science, 2004 vol ii:1-5 [find](https://scholar.google.com/scholar?q=Jansen%2C+P%2E+%282004%29+Lexicography+in+an+Interlingual+Ontology%3A+An+Introduction+to+EuroWordNet%2C+Canadian+Undergraduate+Journal+of+Cognitive+Science%2C+2004+vol+ii%3A1%2D5)
13. Niles, I., and Pease, A. (2001) Towards a Standard Upper Ontology. In: Proceedings of FOIS 2001, Ogunquit, Maine, pp. 2-9. [find](https://scholar.google.com/scholar?q=Niles%2C+I%2E%2C+and+Pease%2C+A%2E+%282001%29+Towards+a+Standard+Upper+Ontology%2E+In%3A+Proceedings+of+FOIS+2001%2C+Ogunquit%2C+Maine%2C+pp%2E+2%2D9%2E)
14. Pease, A., (2000) Standard Upper Ontology Knowledge Interchange Format. Web document [http://suo.ieee.org/suo-kif.html](http://suo.ieee.org/suo-kif.html). [↗](http://suo.ieee.org/suo-kif.html)
15. Pease, A., (2003) The Sigma Ontology Development Environment, in Working Notes of the IJCAI-2003 Workshop on Ontology and Distributed Systems. Volume 71 of CEUR Workshop Proceeding series Pustejovsky, J. (1995) The Generative Lexicon, Massachusetts Institute of Technology. [find](https://scholar.google.com/scholar?q=Pease%2C+A%2E%2C+%282003%29+The+Sigma+Ontology+Development+Environment%2C+in+Working+Notes+of+the+IJCAI%2D2003+Workshop+on+Ontology+and+Distributed+Systems%2E+Volume+71+of+CEUR+Workshop+Proceeding+series+Pustejovsky%2C)
16. Tufis, D. (ed.) (2004) Special Issue on the BalkaNet project. Romanian Journal of Information Science and Technology, Vol.7, nos 1-2 [find](https://scholar.google.com/scholar?q=Tufis%2C+D%2E+%28ed%2E%29+%282004%29+Special+Issue+on+the+BalkaNet+project%2E+Romanian+Journal+of+Information+Science+and+Technology%2C+Vol%2E7%2C+nos+1%2D2)
17. Vossen, P. (ed.) (1998) EuroWordNet: A Multilingual Database with Lexical Semantic Networks. Dordrecht: Kluwer Academic Publishers. [↗](https://doi.org/10.1007/978-94-017-1491-4)
18. Vossen P. (2004) EuroWordNet: a multilingual database of autonomous and language-specific wordnets connected via an Inter-Lingual-Index. International Journal of Lexicography, Vol.17 No. 2, OUP, 161-173. 24 24 [find](https://scholar.google.com/scholar?q=Vossen+P%2E+%282004%29+EuroWordNet%3A+a+multilingual+database+of+autonomous+and+language%2Dspecific+wordnets+connected+via+an+Inter%2DLingual%2DIndex%2E+International+Journal+of+Lexicography%2C+Vol%2E17+No%2E+2%2C+OUP%2C+161%2D1)

*Updated 1 November 2026*