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Cross-Linguistic Variation in Spoken Discourse Markers

Authors: Degand, Liesbeth; Broisson, Zoé; Crible, Ludivine; Grzech, Karolina;

Cross-Linguistic Variation in Spoken Discourse Markers

Abstract

This chapter aims to analyze the variation in use and functions of a broad bottom–up selection of discourse markers across four languages from different typological families, namely French and Spanish (Romance), English (Germanic), and Polish (Slavic). Such an endeavor requires that we not only overcome issues of definition and delimitation of the discourse marker category but also design an annotation model encompassing their full functional spectrum, in the perspective of spoken discourse analysis. Our study follows a corpus–based multilingual annotation scheme for functions of (spoken) discourse markers. The functional taxonomy distinguishes between four domains that may be combined with fifteen functions. This taxonomy with two independent levels has been applied to spoken unplanned dialogues in the four languages. The annotations were extracted for contrastive analyses of distribution and variation of discourse markers and their functions. The results indicate that the multilingual annotation scheme may be applied validly to the four different languages. This makes it possible to uncover both similarities and divergences in the functional and semantic distribution of discourse markers. This multidimensional and multilingual approach to discourse markers offers a fine–grained portrait of the variation and of the polyfunctionality of this category across typological families.

Country
Belgium
Related Organizations
Keywords

contrastive linguistics, corpus annotation, discourse markers

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green