Emphatic Negation as Focus: A Case Study in Italian

This paper proposes a syntactic approach to ‘emphatic’ negative structures based on three components, namely a) the regular semantics of negation, b) the distinction between Corrective and Contrastive Focus (Bianchi & Bocci 2012), c) the size of the constituent targeted by Focus. We analyze the distribution of Italian ‘emphatic’ negative structures featuring two different lexical items, namely the adverb mica and the response particle NO. On this basis, we argue that their emphatic import corresponds to different functions, which we dub Correction and Confirmation, and that the specific function and pragmatic distribution of each structure is structurally determined.

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Publication Details

Journal
Catalan Journal of Linguistics
Published
2026-11-02
DOI
https://doi.org/10.5565/rev/catjl.610
Primary Topic
Syntax, Semantics, Linguistic Variation
Type
article
Field-Weighted Citation Impact
0.00

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article

Emphatic Negation as Focus: A Case Study in Italian

Tommaso Mattiuzzi, Cecilia Poletto
Catalan Journal of Linguistics
Syntax, Semantics, Linguistic Variation
article

Emphatic Negation as Focus: A Case Study in Italian

Tommaso Mattiuzzi, Cecilia Poletto
article en

Abstract

This paper proposes a syntactic approach to ‘emphatic’ negative structures based on three components, namely a) the regular semantics of negation, b) the distinction between Corrective and Contrastive Focus (Bianchi & Bocci 2012), c) the size of the constituent targeted by Focus. We analyze the distribution of Italian ‘emphatic’ negative structures featuring two different lexical items, namely the adverb mica and the response particle NO. On this basis, we argue that their emphatic import corresponds to different functions, which we dub Correction and Confirmation, and that the specific function and pragmatic distribution of each structure is structurally determined.

Catalan Journal of LinguisticsVol. 25(3)
Goethe University Frankfurt (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 4%
Syntax, Semantics, Linguistic Variation
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