Aspect in verb & noun constructions of feelings in French and Russian

This dissertation work is realised as a contrastive analysis which aims the identification of the aspectual differences between two linguistic systems, French and Russian. Our methodology is based on the analysis of two types of data corpora : comparable and parallel. The subject of this research concerns the study of aspectuel values of Nouns of emotion and their collocative verbs, especially in the Verb+Noun constractions. We have chosen these structures as a location of the field of aspectuality which, beeing lexicon-grammar categorie, touches the lexicon as well as the syntax of a phrase. The identification of the aspectual values of these combinations comes from their lexical and syntactic combinatory. It is composed of different parameters (settings) : aspectuel features of the Noun (bi-nominal structures, adjectives-modifiers and determinants) and aspectual features of the Verb (grammatical aspect, lexical aspect and phases). Our scientific contribution consists in a study of the aspectuality as a linguistic category touching the Nouns of emotion in French and in Russian. The main results of this research tend to confirm our hypotheses about inherent aspect of the seven Noun of emotion studied in French and in Russian (admiration/vosxiščenie, amour/ljubov', angoisse/trevoga, bonheur/sčast'e, colère/gnev, joie/radost', peur/strax) and their aspectual relations with Verbs whithin Verb+Noun constructions.

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Source https://theses.hal.science/tel-00982691
Author Melnikova, Elena
Maintainer CCSD
Last Updated May 5, 2026, 13:25 (UTC)
Created May 5, 2026, 13:25 (UTC)
Identifier NNT: 2013GRENL003
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor LInguistique et DIdactique des Langues Étrangères et Maternelles (LIDILEM) ; Université Stendhal - Grenoble 3
creator Melnikova, Elena
date 2013-10-25T00:00:00
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harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-31T00:00:00
set_spec type:THESE