G4 Monografiaväitöskirja

EGO/Speaker deixis




TekijätDhifallah, Asma

KustannuspaikkaTurku

Julkaisuvuosi2024

Sarjan nimiTurun yliopiston julkaisuja - Annales Universitatis Turkunesis B

Numero sarjassa671

ISBN978-951-29-9768-8

eISBN978-951-29-9769-5

ISSN0082-6987

eISSN2343-3191

Verkko-osoitehttps://urn.fi/URN:ISBN:978-951-29-9769-5


Tiivistelmä

Using a corpus cognitive-linguistic approach, the present study examines the deictic composition of Ego-centered motion metaphors of time (EMTs) in Arabic and English. EMTs are metaphors that describe the passage of time based on the conception of spatial motion, using a deictic perspective, e.g. Summer is coming, or We are approaching summer. The study paradigm addresses the deictic composition of EMTs from a comparative perspective and takes the finite verb expression as a unit of analysis, considering it to be at the intersection of a variety of veridical and metaphorical elements. To this aim, the study analyzes 2200 EMT lines by searching 44 different COME and GO verb expressions in Arabic and English. The current inquiry identifies several key findings: First, the analysis systematically distinguishes between Ego, the experiencer of the Motion Scenario, and the Speaker, the narrator of the Motion Scenario. This distinction is central to expressing a diverse range of metaphors and explains our conceptual ability to ‘go back in time’. Next, the study presents deictic subsystems based on the interaction of tense with viewpoint, lexical, and nominal aspects. The analysis indicates a major distinction between the two languages: English, using a tense system, is found to refer to both Ego’s ‘now’ and the Speaker’s present systematically in most cases; while Arabic, which is based on the dichotomy of the perfective and the imperfective, indicates Ego’s ‘now’ categorically but does not systematically relate the Motion Scenario to the time of speech. Finally, for each language, the usage distinctions among similar expressions are tested using a Random Forest statistical model. The resulting predictions indicate that verb expressions with similar conceptual meanings exhibit distinctive patterns of usage.



Last updated on 2025-27-01 at 19:13