Motion Verbs in Arabic and English Narratives: A Contrastive Semantic Analysis
Abstract
In this work, not only are different types of motion verbs, such as manner verbs and path verbs, but the embedding relations between motion verbs and text structures are systematically and comprehensively studied, based on Arabic-English parallel narrative texts, within the scope of a contrastive semantic and typological framework. The study is grounded in Talmy’s (2000) prominent motion event typology and Slobin’s (2004) influential “Thinking for Speaking” hypothesis. It systematically considers how these two languages encode and represent the four core semantic components of motion: path, manner, figure, and ground. In English, a satellite-framed language, manner is expressed within the main verb and the path is expressed in prepositional satellites (e.g. ran into). In contrast, as a verb-framed language, Arabic encodes path in the verb and manner elsewhere (or idiomatically) in the clause, as in the expression “دخل راكضاً” “dakhala rākiḍan”.
Based on a qualitative analysis of parallel narrative examples from a variety of Arabic and English literary specimens, this study reveals significant typological, cognitive, and stylistic differences. These differences have profound implications for translating practices, second language acquisition methods, and theories of cognitive semantics. These investigations would improve awareness of the ‘varieties of motion in languages, especially among languages. The findings of this study contribute to an enhanced understanding of the distinct motion modes of thought and typologies of linguistic expressions across different cultural and linguistic systems, which is significant for both the area of typology in linguistics and language pedagogy/educators. The statistics presented here are shown in different ways, with examples that are intended to be utilised for direct learning. The content originated from credible sources, such as Google Scholar, Google Books, and other online platforms.
Copyright (c) 2025 Bahaa A. Muslim Al-Zobaidy

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.