# Gulf Arabic Noun and Verb Retrieval: What Matters?

**Authors:** Tariq Khwaileh, Eiman Mustafawi, Samawiyah Ulde, Noora Essa AlAnsari, Yusuf Albustanji

PMC · DOI: 10.1007/s10936-025-10148-2 · Journal of Psycholinguistic Research · 2025-05-26

## TL;DR

This study examines how nouns and verbs are retrieved in Gulf Arabic, finding that verbs take longer to name due to their morphological complexity.

## Contribution

The study introduces a picture-naming paradigm to investigate noun and verb retrieval in Gulf Arabic, focusing on morpho-phonological features.

## Key findings

- Verbs have higher naming latencies than nouns due to greater morphological complexity.
- CV skeleton and vocalic pattern significantly affect naming latencies for both nouns and verbs.
- Results support the non-concatenative morphology framework for Semitic languages.

## Abstract

Differential processing between the grammatical classes, i.e., nouns and verbs, has been studied across various linguistic disciplines in different languages, but not Arabic. The present study explores predictors of bare single nouns and bare single verbs in Gulf Arabic through a picture-naming paradigm. Aspects specific to the morpho-phonology of the language (CV skeleton, vocalic pattern) have been investigated for their roles in noun and verb retrieval. A picture-naming paradigm was carried out with 64 healthy native speakers of Gulf Arabic where participants named 282 line drawings representing nouns, and 154 line drawings representing verbs to generate naming latencies for the nouns and verbs in question. Linear regression models were fitted to analyse the relationship between grammatical class and naming latencies as well as morphological features and naming latencies. Verbs, which are more morphologically complex than nouns, were found to have higher naming latencies. Both CV skeleton and vocalic pattern impacted naming latencies and can account for the difference between verb and noun production. The results are discussed in relation to the non-concatenative morphology framework for Semitic languages.

## Full-text entities

- **Diseases:** Class III CVVCVC (MESH:D008313), language disorders (MESH:D007806), Disrupted naming ability (MESH:D019958), aphasia (MESH:D001037), dementia (MESH:D003704)
- **Chemicals:** txarbaT (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12106545/full.md

## References

15 references — full list in the complete paper: https://tomesphere.com/paper/PMC12106545/full.md

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Source: https://tomesphere.com/paper/PMC12106545