---
title: "Building the Valency Lexicon of Arabic Verbs — Bielický 2008"
description: "They then describe their sources and tools: PADT, Arabic Gigaword, CLARA, printed dictionaries, the ElixirFM… 34 references, cited by 2 papers here."
authors: ["Viktor Bielický", "Otakar Smrž"]
year: 2008
venue: "Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)"
source: "https://aclanthology.org/L08-1172/"
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/bielicky-2008-building-valency-lexicon-arabic-verbs/"
---
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# Building the Valency Lexicon of Arabic Verbs

**Authors:** Viktor Bielický and [Otakar Smrž](https://md.research.elamur.ai/free/en/authors/otakar-smrz/) · **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/L08-1172/) · [PDF](https://aclanthology.org/L08-1172.pdf) · [OpenAlex](https://openalex.org/W166243716)

**Citations:** 8 citations (OpenAlex, 2026-10-14) · 2 in our library, of the 140,884 papers whose bibliographies we read

## Summary
The paper lays the theoretical and practical groundwork for a valency lexicon covering the most frequent verbs of Modern Standard Arabic. A valency lexicon records which arguments each verb meaning requires or permits. The authors adopt the valency theory of Functional Generative Description (FGD), which also underlies the Czech VALLEX and PDT-VALLEX lexicons, and adapt it to Arabic. They illustrate it with examples drawn mainly from the Prague Arabic Dependency Treebank (PADT). They contrast FGD's mixed syntactic-semantic criteria with a purely Case Grammar analysis of Arabic. They then describe their sources and tools: PADT, Arabic Gigaword, CLARA, printed dictionaries, the ElixirFM morphology, and the TrEd, Netgraph and Xaira search tools. Finally, they propose an entry structure suited to root-based Arabic morphology. The outcome is a design and methodology rather than a finished resource. It matters because such frames can help parsing, generation and further tectogrammatical annotation of PADT, and because the approach shows how a frame inventory from one language can be carried over to another.

## Key points
- PADT, the main source, has multi-level annotation (functional morphology, analytical dependency syntax, tectogrammatics) and covers more than one million words.
- FGD distinguishes five actants (ACT, PAT, ADDR, EFF, ORIG) from free modifications such as LOC, TWHEN, MANN and MEANS.
  - Each actant can fill only one slot per verb and belongs to particular verbs.
  - Adjuncts can repeat and can attach to almost any verb.
- A frame in the narrow sense contains:
  - obligatory and optional actants;
  - only those adjuncts that are obligatory, as decided by Panevová's dialogue test.
- Quasi-valency and typical complements from VALLEX are deliberately left out for now.
- The planned entries have these features:
  - They are grouped by consonantal root, with weak verbs treated as triliteral with w/y.
  - They list the derivational class (I–X), the verbal noun, lexical units per meaning (idioms get separate units), and the surface form of each slot (case, preposition, conjunction).
  - They note passivisation through vowel-pattern change and give corpus examples with frequency and rank.

## Interesting ideas
- The "shifting of cognitive roles" rule labels the first two arguments Actor and Patient on syntactic grounds and assigns semantic labels only to the remaining slots, which keeps annotation consistent when semantics is fuzzy.
- Each frame slot pairs an abstract functor with the allowed surface realisations (case, specific preposition, conjunction), turning the lexicon into a direct bridge between the dependency tree and meaning.
- Obligatory and optional slots are separated with an explicit test: can a speaker omit a complement yet still be asked about it, because the listener assumes it is known?
- The lexicon is built as linked structures tied to the morphological lexicon, and readable or printed views are generated as linearisations of that structure rather than kept by hand.
- Each lexical unit records its corpus frequency, rank and attested examples, grounding the frame inventory in evidence rather than intuition.

## For Mova

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

- **I1** (frames): A deterministic fallback in prag could assign the first two core dependents (nsubj, obj/obl) fixed roles, with VerbNet semantics refining only the extra arguments, so every role assignment stays traceable.
- **I2** (frames): Frames in prag could store, for each role, the admissible UD relations and prepositions (e.g. ADDR = iobj or obl:to), so matching a tree to a frame becomes an explainable lookup.
- **I3** (world): When a required slot is missing from the text, the world builder could create an implicit "understood" entity instead of leaving a gap, which helps answer questions about unstated participants.
- **I4** (back): Storing frames as linked data with generated text views would let the same structure drive generation templates (slot order and prepositions) in the text → graph → text compressor.
- **I5** (learn): Frame entries could carry counts and example sentences from silver data, so low-evidence frames can be flagged for LLM-teacher review or tested against negative controls.

*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: [🐪 Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/)

## Institutions

- [Charles University](https://md.research.elamur.ai/free/en/universities/charles-university/) — University, Prague, Czechia · 99 works · 18,879 citations

## Cite

Cite as: Viktor Bielický and Otakar Smrž. 2008. Building the Valency Lexicon of Arabic Verbs. 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{bielicky2008building,
  title = {{Building the Valency Lexicon of Arabic Verbs}},
  author = {Viktor Bielický and Otakar Smrž},
  booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)},
  year = {2008},
  doi = {10.63317/4fb657bzqqfx},
  url = {https://doi.org/10.63317/4fb657bzqqfx}
}
```

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## References

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

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