The mass-count distinction and classifier semantics in Tashkent Uzbek

Abstract The paper argues for the existence of the (NP-level) mass-count distinction in Tashkent Uzbek, an obligatory classifier dialect. Evidence is provided based on the distribution and interpretation of modifiers, classifiers, quantificational suffixes of different types, as well as properties of object mass nouns and granular aggregates. A formal analysis within Landman’s (2020) Iceberg Semantics is further provided that treats classifiers as sensitive to the mass-count distinction but not uniformly serving as ‘individuators’ of otherwise mass nouns.

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Publication Details

Journal
Natural Language & Linguistic Theory
Published
2026-10-26
DOI
https://doi.org/10.1007/s11049-026-09734-3
Primary Topic
Syntax, Semantics, Linguistic Variation
Type
article
Field-Weighted Citation Impact
0.00

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article

The mass-count distinction and classifier semantics in Tashkent Uzbek

Zarina Levy-Forsythe, Olga Kagan
Natural Language & Linguistic Theory
Syntax, Semantics, Linguistic Variation
article

The mass-count distinction and classifier semantics in Tashkent Uzbek

Zarina Levy-Forsythe, Olga Kagan
article en

Abstract

Abstract The paper argues for the existence of the (NP-level) mass-count distinction in Tashkent Uzbek, an obligatory classifier dialect. Evidence is provided based on the distribution and interpretation of modifiers, classifiers, quantificational suffixes of different types, as well as properties of object mass nouns and granular aggregates. A formal analysis within Landman’s (2020) Iceberg Semantics is further provided that treats classifiers as sensitive to the mass-count distinction but not uniformly serving as ‘individuators’ of otherwise mass nouns.

Natural Language & Linguistic TheoryVol. 44(4)
Ben-Gurion University of the Negev (IL)
Israel Science Foundation
Openalex Percentile: Top 3%
Syntax, Semantics, Linguistic Variation
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The mass-count distinction and classifier semantics in Tashkent Uzbek — Zarina Levy-Forsythe, Olga Kagan · Natural Language & Linguistic Theory (2026) | TGRS Research Map | TGRS