--- title: "A Compact Arabic Lexical Semantics Language Resource Based on the Theory of Semantic — Attia 2008" description: "Arabic is highly inflective and derivative, so a sense inventory keyed on full word forms misses most words seen at… 21 references, cited by 2 papers here." authors: ["Mohamed Attia", "Mohsen Rashwan", "Ahmed Ragheb", "Mohamed Al-Badrashiny", "Husein Al-Basoumy"] year: 2008 venue: "Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)" source: "https://aclanthology.org/L08-1611/" licence: "CC BY-NC 4.0 (ELRA, LREC proceedings)" licence_url: "https://creativecommons.org/licenses/by-nc/4.0/" summary_licence: "Elamur Cosmic License" canonical: "https://research.elamur.ai/free/en/papers/attia-2008-compact-arabic-lexical-semantics-language/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/attia-2008-compact-arabic-lexical-semantics-language/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [2008](https://md.research.elamur.ai/free/en/papers/2008/) / A Compact Arabic Lexical Semantics Language Resource Based on the Theory of Semantic Fields # A Compact Arabic Lexical Semantics Language Resource Based on the Theory of Semantic Fields **Authors:** [Mohamed Attia](https://md.research.elamur.ai/free/en/authors/mohamed-attia/), Mohsen Rashwan, Ahmed Ragheb, [Mohamed Al-Badrashiny](https://md.research.elamur.ai/free/en/authors/mohamed-al-badrashiny/) and Husein Al-Basoumy · **Year:** 2008 · **Venue:** Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08) · **Licence:** [CC BY-NC 4.0 (ELRA, LREC proceedings)](https://creativecommons.org/licenses/by-nc/4.0/) **Links:** [Publisher's page](https://aclanthology.org/L08-1611/) · [PDF](https://aclanthology.org/L08-1611.pdf) · [OpenAlex](https://openalex.org/W1548285115) **Citations:** 25 citations (OpenAlex, 2026-10-14) · [2](https://md.research.elamur.ai/free/en/papers/attia-2008-compact-arabic-lexical-semantics-language/cited-by/) in our library, of the 140,884 papers whose bibliographies we read ## Summary Arabic is highly inflective and derivative, so a sense inventory keyed on full word forms misses most words seen at runtime. Thesauri list on the order of 10^4.5 entries, while inflection and derivation can generate about 10^7 forms. The authors, at RDI in Egypt, built an Arabic lexical semantics LR that avoids this problem. Its starting point is the Grand Thesaurus, which is grounded in the theory of semantic fields. Instead of storing words, the LR stores lexical compounds made of morpheme codes from RDI's morphological model (prefix, root, pattern, suffix). These compounds can be matched loosely: a slot can require an exact morpheme, any morpheme carrying a given PoS tag, or nothing at all. Each compound maps to one or more of about 1,800 semantic fields, and those fields are linked by 20 standard semantic relations. A morphological analyzer and PoS tagger run at lookup time and connect input words to compounds. If nothing matches, the lookup falls back to the semantic fields of the root. The result is a compact relational DB that retrieves candidate senses for almost any Arabic word. Sense disambiguation is deliberately left to applications. ## Key points - The LR has four parts: - a fixed set of semantic fields; - a forward and inverse RDB mapping lexical compounds to fields, one-to-many; - a set of standard relations, such as antonymy, hyponymy and entailment; - an RDB linking fields through zero or more relations. - The LR was derived from the 2002 Grand Thesaurus compiled by Mukhtaar Umar and colleagues, which holds more than 35,000 entries and about 1,800 fields. The final LR has about 40,000 entries and 1,824 fields. - RDI's morphological model represents each word as a quadruple (t: p, r, f, s). - It uses about 7,800 morphemes in 9 categories. - It reaches over 99.8% dynamic coverage on large corpora, excluding transliterated words. - The PoS tagset has only 62 atomic tags. - Compounds are encoded as follows: - an explicit morpheme code means that exact morpheme is required; - a negated PoS code means any morpheme with that tag is accepted; - −1000 is a don't-care value for a semantically neutral slot. - Comparison with AWN (beta, 2007): - AWN has about 12,038 entries, 5,861 fields, hyponymy only, no back-off, and links to other WordNets. - The new LR has 20 relations and root back-off, but no cross-language mapping. - The budget was under 100 man-months over 2 years. ## Interesting ideas - Key sense entries on underspecified morphological patterns, with slots that are exact, PoS-class-only, or wildcard, instead of on surface strings; this lets a small table cover a very large set of forms. - When no exact lexical match exists, back off to the senses of the underlying root, giving a coarser but nonempty answer instead of a miss. - Keep a small, closed inventory of semantic fields and define relations between fields rather than between words; the number of relation entries then stays manageable and words become related indirectly. - Keep the resource context-free: it lists all possible senses and leaves disambiguation to a separate downstream layer. - Store both a forward (word→fields) and an inverse (fields→words) table of the same mapping, serving analysis and generation from one resource. ## For Mova How these ideas could serve Mova, our small open language model — its files, stages and tests: - **I1** (world): Verb-class and WordNet lookups could be keyed on lemma plus constrained features (e.g., particle, voice, nominalization suffix), so that derived forms like "-ation" or "-er" inherit senses without separate entries. - **I2** (world): Unknown derived words could fall back to the frames and ontology classes of their base lemma, with a flag marking the result as inferred so the explanation stays honest. - **I3** (world): The knowledge graph could store antonymy and entailment at the field or synset-cluster level, which reduces curation cost and makes each inference traceable to one field-level fact. - **I4** (frames): The prag crate could take an explicit candidate-sense set from the lexicon and choose among them using the UD tree and roles, so each sense choice stays inspectable. - **I5** (back): Generation and the text→graph→text compressor could use the inverse index to find surface forms for a meaning node, with the same morphological constraints guiding inflection. *Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.* Fields: [Linguistics & languages](https://md.research.elamur.ai/free/en/shelves/linguistics/) Topics: [📖 Lexical semantics & word embeddings](https://md.research.elamur.ai/free/en/topics/lexical-semantics/) · [🧩 Morphology](https://md.research.elamur.ai/free/en/topics/morphology/) · [🐪 Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/) ## Cite Cite as: Mohamed Attia, Mohsen Rashwan, Ahmed Ragheb, Mohamed Al-Badrashiny and Husein Al-Basoumy. 2008. A Compact Arabic Lexical Semantics Language Resource Based on the Theory of Semantic Fields. Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08). The paper itself, not this page. BibTeX from the library's record of the work. ```bibtex @inproceedings{attia2008compact, title = {{A Compact Arabic Lexical Semantics Language Resource Based on the Theory of Semantic Fields}}, author = {Mohamed Attia, Mohsen Rashwan, Ahmed Ragheb, Mohamed Al-Badrashiny and Husein Al-Basoumy}, booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)}, year = {2008}, doi = {10.1007/978-3-540-85287-2\_7}, url = {https://doi.org/10.1007/978-3-540-85287-2_7} } ``` - [← previous Towards an Annotated Corpus of Discourse Relations in Hindi](https://md.research.elamur.ai/free/en/papers/prasad-2008-annotated-corpus-discourse-relations-hindi/) - [next → A More Precise Analysis of Punctuation for Broad-Coverage Surface Realization with CCG](https://md.research.elamur.ai/free/en/papers/white-2008-more-precise-analysis-punctuation-broad/) - [↑ back to papers of 2008](https://md.research.elamur.ai/free/en/papers/2008/) ## References 21 references, 0 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet. 1. I- References in English: Attia, M., 2005, Theory and Implementation of a Large-Scale Arabic Phonetic Transcriptor, and Applications. PhD thesis, Dept. of Electronics and Electrical Communications, Cairo University. [http://www.RDI-eg.com/RDI/Technologies/paper.htm](http://www.RDI-eg.com/RDI/Technologies/paper.htm). [↗](http://www.RDI-eg.com/RDI/Technologies/paper.htm) 2. Attia, M., 2000, A Large-Scale Computational Processor of the Arabic Morphology, and Applications, MSc. thesis, Dept. of Computer Engineering, Faculty of Engineering, Cairo University. [http://www.RDI-eg.com/RDI/Technologies/paper.htm](http://www.RDI-eg.com/RDI/Technologies/paper.htm). [↗](http://www.RDI-eg.com/RDI/Technologies/paper.htm) 3. 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[find](https://scholar.google.com/scholar?q=Sch%C3%BCtze%2C+H%2E%2C+Manning%2C+C%2ED%2E%2C+2000%2C+Foundations+of+Statistical+Natural+Language+Processing%2C+the+MIT+Press%2E) 13. Vossen, P., 2002, Euro Word Net; General Document, Version 3, Final, University of Amsterdam, [http://www.hum.uva.nl/~ewn](http://www.hum.uva.nl/~ewn). [↗](http://www.hum.uva.nl/~ewn) 14. Yaseen, et al., 2006, Building Annotated Written and Spoken Arabic LR’s in NEMLAR Project, LREC2006 conference [http://www.lrec-conf.org/lrec2006](http://www.lrec-conf.org/lrec2006) , Genoa-Italy, May 2006. [↗](http://www.lrec-conf.org/lrec2006) 15. II- References in Arabic: يمركلا دثع . د ، " ةللادلا ملع في " [Abdul Kareem H. Gabal, 1997] [find](https://scholar.google.com/scholar?q=II%2D+References+in+Arabic%3A+%D9%8A%D9%85%D8%B1%D9%83%D9%84%D8%A7+%D8%AF%D8%AB%D8%B9+%2E+%D8%AF+%D8%8C+%22+%D8%A9%D9%84%D9%84%D8%A7%D8%AF%D9%84%D8%A7+%D9%85%D9%84%D8%B9+%D9%81%D9%8A+%22+%5BAbdul+Kareem+H%2E+Gabal%2C+1997%5D) 16. . 1997 ،ةٌردٌكسلإا ،ةٍعهالجا ةفرعلما راد ،لثج يسح ىاٌثل ،ةلاغ اٌح . د ، " ةيبرعلا ةغللا زنك " [Hanna Ghaleb, 2003] . م 2003 ،ىورشاً نٍهارتإ ، " دراوتلماو فدارتلما في دئارلا ةعنج " [Ibraheem Al-Yazijy] . تويرت ،ىاٌثل ةثتكه ،ًجزاٍلا ةثتكه ،سًٍأ نٍهارتإ . د ، " ظافللأا ةللاد " [Ibraheem Anees, 1952] [find](https://scholar.google.com/scholar?q=%2E+1997+%D8%8C%D8%A9%D9%8C%D8%B1%D8%AF%D9%8C%D9%83%D8%B3%D9%84%D8%A5%D8%A7+%D8%8C%D8%A9%D9%8D%D8%B9%D9%87%D8%A7%D9%84%D8%AC%D8%A7+%D8%A9%D9%81%D8%B1%D8%B9%D9%84%D9%85%D8%A7+%D8%B1%D8%A7%D8%AF+%D8%8C%D9%84%D8%AB%D8%AC+%D9%8A%D8%B3%D8%AD+%D9%89%D8%A7%D9%8C%D8%AB%D9%84+%D8%8C%D8%A9%D9%84%D8%A7%D8%BA+%D8%A7%D9%8C%D8%AD+%2E+%D8%AF+%D8%8C+%22+%D8%A9%D9%8A%D8%A8%D8%B1%D8%B9%D9%84%D8%A7+%D8%A9%D8%BA%D9%84%D9%84%D8%A7+%D8%B2%D9%86%D9%83+%22+%5BHanna+Ghaleb%2C+2003%5D+%2E+%D9%85+2003+%D8%8C%D9%89%D9%88%D8%B1%D8%B4%D8%A7%D9%8B+%D9%86%D9%8D%D9%87%D8%A7%D8%B1%D8%AA%D8%A5+%D8%8C+%22+%D8%AF%D8%B1%D8%A7%D9%88%D8%AA%D9%84%D9%85%D8%A7%D9%88+%D9%81%D8%AF%D8%A7%D8%B1%D8%AA%D9%84%D9%85%D8%A7+%D9%81%D9%8A+%D8%AF%D8%A6%D8%A7%D8%B1%D9%84%D8%A7+%D8%A9%D8%B9%D9%86%D8%AC+%22+%5BIbraheem+Al%2DYazijy%5D) 17. . 1952 ،ةٌرصلما ولنجلأا ةٍترتلل ةٍترعلا ةوظٌلما ، " يساسلأا بيرعلا مجعلما " [La Rousse, 1988] . م 1988 ،سورلا ،مولعلاو ةفاقثلاو دوومح . د ، " رصاعلما بيرعلا زنكلما " [Mahmoud I. Siny et al., 1993] [find](https://scholar.google.com/scholar?q=%2E+1952+%D8%8C%D8%A9%D9%8C%D8%B1%D8%B5%D9%84%D9%85%D8%A7+%D9%88%D9%84%D9%86%D8%AC%D9%84%D8%A3%D8%A7+%D8%A9%D9%8D%D8%AA%D8%B1%D8%AA%D9%84%D9%84+%D8%A9%D9%8D%D8%AA%D8%B1%D8%B9%D9%84%D8%A7+%D8%A9%D9%88%D8%B8%D9%8C%D9%84%D9%85%D8%A7+%D8%8C+%22+%D9%8A%D8%B3%D8%A7%D8%B3%D9%84%D8%A3%D8%A7+%D8%A8%D9%8A%D8%B1%D8%B9%D9%84%D8%A7+%D9%85%D8%AC%D8%B9%D9%84%D9%85%D8%A7+%22+%5BLa+Rousse%2C+1988%5D+%2E+%D9%85+1988+%D8%8C%D8%B3%D9%88%D8%B1%D9%84%D8%A7+%D8%8C%D9%85%D9%88%D9%84%D8%B9%D9%84%D8%A7%D9%88+%D8%A9%D9%81%D8%A7%D9%82%D8%AB%D9%84%D8%A7%D9%88+%D8%AF%D9%88%D9%88%D9%85%D8%AD+%2E+%D8%AF+%D8%8C+%22+%D8%B1%D8%B5%D8%A7%D8%B9%D9%84%D9%85%D8%A7+%D8%A8%D9%8A%D8%B1%D8%B9%D9%84%D8%A7+%D8%B2%D9%86%D9%83%D9%84%D9%85%D8%A7+%22+%5BMahmoud+I%2E+Siny+et+al%2E%2C+1993%5D) 18. ،لىولأا ةعثطلا ،تويرت ،ىاٌثل ةثتكه ،ىورخآو - نيٍص لٍعاسمإ . م 1993 [find](https://scholar.google.com/scholar?q=%D8%8C%D9%84%D9%89%D9%88%D9%84%D8%A3%D8%A7+%D8%A9%D8%B9%D8%AB%D8%B7%D9%84%D8%A7+%D8%8C%D8%AA%D9%88%D9%8A%D8%B1%D8%AA+%D8%8C%D9%89%D8%A7%D9%8C%D8%AB%D9%84+%D8%A9%D8%AB%D8%AA%D9%83%D9%87+%D8%8C%D9%89%D9%88%D8%B1%D8%AE%D8%A2%D9%88+%2D+%D9%86%D9%8A%D9%8D%D8%B5+%D9%84%D9%8D%D8%B9%D8%A7%D8%B3%D9%85%D8%A5+%2E+%D9%85+1993) 19. ُنَلاع ،روع راتمخ دحمأ . د ، " ِةلاَلِّدلا ُمْلِع " [Mukhtaar Umar, 1998] . م 1998 ،ُةسِهاَلخا ُةَعِثَّطلا ،ِة ت ُ ُكلا روع راتمخ دحمأ . د ، " ُيربَكلا ُز ن َ ْكَلم ا " [Mukhtaar Umar et al., 2002] [find](https://scholar.google.com/scholar?q=%D9%8F%D9%86%D9%8E%D9%84%D8%A7%D8%B9+%D8%8C%D8%B1%D9%88%D8%B9+%D8%B1%D8%A7%D8%AA%D9%85%D8%AE+%D8%AF%D8%AD%D9%85%D8%A3+%2E+%D8%AF+%D8%8C+%22+%D9%90%D8%A9%D9%84%D8%A7%D9%8E%D9%84%D9%91%D9%90%D8%AF%D9%84%D8%A7+%D9%8F%D9%85%D9%92%D9%84%D9%90%D8%B9+%22+%5BMukhtaar+Umar%2C+1998%5D+%2E+%D9%85+1998+%D8%8C%D9%8F%D8%A9%D8%B3%D9%90%D9%87%D8%A7%D9%8E%D9%84%D8%AE%D8%A7+%D9%8F%D8%A9%D9%8E%D8%B9%D9%90%D8%AB%D9%91%D9%8E%D8%B7%D9%84%D8%A7+%D8%8C%D9%90%D8%A9+%D8%AA+%D9%8F+%D9%8F%D9%83%D9%84%D8%A7+%D8%B1%D9%88%D8%B9+%D8%B1%D8%A7%D8%AA%D9%85%D8%AE+%D8%AF%D8%AD%D9%85%D8%A3+%2E+%D8%AF+%D8%8C+%22+%D9%8F%D9%8A%D8%B1%D8%A8%D9%8E%D9%83%D9%84%D8%A7+%D9%8F%D8%B2+%D9%86+%D9%8E+%D9%92%D9%83%D9%8E%D9%84%D9%85+%D8%A7+%22+%5BMukhtaar+Umar+et+al%2E%2C+2002%5D) 20. ،ىَلوُلأا ةَعِثَّطلا ،ةٌدوعسلا ةٍترعلا ةكلولما " روُط س ُ " ِرِشًَ ُراد ،َىوُرَخآو - . م 2002 [find](https://scholar.google.com/scholar?q=%D8%8C%D9%89%D9%8E%D9%84%D9%88%D9%8F%D9%84%D8%A3%D8%A7+%D8%A9%D9%8E%D8%B9%D9%90%D8%AB%D9%91%D9%8E%D8%B7%D9%84%D8%A7+%D8%8C%D8%A9%D9%8C%D8%AF%D9%88%D8%B9%D8%B3%D9%84%D8%A7+%D8%A9%D9%8D%D8%AA%D8%B1%D8%B9%D9%84%D8%A7+%D8%A9%D9%83%D9%84%D9%88%D9%84%D9%85%D8%A7+%22+%D8%B1%D9%88%D9%8F%D8%B7+%D8%B3+%D9%8F+%22+%D9%90%D8%B1%D9%90%D8%B4%D9%8E%D9%8B+%D9%8F%D8%B1%D8%A7%D8%AF+%D8%8C%D9%8E%D9%89%D9%88%D9%8F%D8%B1%D9%8E%D8%AE%D8%A2%D9%88+%2D+%2E+%D9%85+2002) 21. لٍئافر بلأا ، " تاسناجتلماو تافدارتلما في دجنلما " [Rafael Nakhla] . قرشلما راد ،ًعوسٍلا ةلنخ ِلاعْفَلأِل ُةَّيفِر صلا َّ ُةَّيلاَلِّدلا ُلوقـُلحا " [Sulayman Fayyaadh, 1990] . م 1990 ،ِضاٌِّرلات ِخٌِّرَلما ُراد ،ضاٍََّف ىاوٍَِل س ُ ، " ِةَّيبَر ع َ لا ، " رغصلأا ةيبرعلا تافدارتلما مجعم " [Wagdy R. Ghaly, 1996] . م 1996 [find](https://scholar.google.com/scholar?q=%D9%84%D9%8D%D8%A6%D8%A7%D9%81%D8%B1+%D8%A8%D9%84%D8%A3%D8%A7+%D8%8C+%22+%D8%AA%D8%A7%D8%B3%D9%86%D8%A7%D8%AC%D8%AA%D9%84%D9%85%D8%A7%D9%88+%D8%AA%D8%A7%D9%81%D8%AF%D8%A7%D8%B1%D8%AA%D9%84%D9%85%D8%A7+%D9%81%D9%8A+%D8%AF%D8%AC%D9%86%D9%84%D9%85%D8%A7+%22+%5BRafael+Nakhla%5D+%2E+%D9%82%D8%B1%D8%B4%D9%84%D9%85%D8%A7+%D8%B1%D8%A7%D8%AF+%D8%8C%D9%8B%D8%B9%D9%88%D8%B3%D9%8D%D9%84%D8%A7+%D8%A9%D9%84%D9%86%D8%AE+%D9%90%D9%84%D8%A7%D8%B9%D9%92%D9%81%D9%8E%D9%84%D8%A3%D9%90%D9%84+%D9%8F%D8%A9%D9%91%D9%8E%D9%8A%D9%81%D9%90%D8%B1+%D8%B5%D9%84%D8%A7+%D9%91%D9%8E+%D9%8F%D8%A9%D9%91%D9%8E%D9%8A%D9%84%D8%A7%D9%8E%D9%84%D9%91%D9%90%D8%AF%D9%84%D8%A7+%D9%8F%D9%84%D9%88%D9%82%D9%80%D9%8F%D9%84%D8%AD%D8%A7+%22+%5BSulayman+Fayyaadh%2C+1990%5D+%2E+%D9%85+1990+%D8%8C%D9%90%D8%B6%D8%A7%D9%8C%D9%91%D9%90%D8%B1%D9%84%D8%A7%D8%AA+%D9%90%D8%AE%D9%8C%D9%91)