Zero marking in inflection

This study examines zero marking, i.e. the absence of an overt exponent, in adjectival, nominal, and verbal inflectional morphology across languages. The first part of the study provides an overview of the distribution of zero markers in inflection paradigms using the UniMorph dataset. The results show that there is a general preference against zero marking. The distribution of zero markers varies to a great extent across languages and lemmas, the only robust trend being that they are avoided in cells that express a high number of grammatical values. The second part of this study examines the association between marker frequencies and phonological length, using the Universal Dependencies treebanks. While token frequency is a good predictor for the length of overt markers, it does not account for the occurrence of zero markers. This is taken as evidence to support a differential non-development scenario of zero marking rather than a phonetic reduction scenario.

Authors

Institutions

Publication Details

Journal
Journal of Language Modelling
Published
2024-12-10
DOI
https://doi.org/10.15398/jlm.v12i2.361
Citations
1
Primary Topic
Linguistic Variation and Morphology
Type
article
Field-Weighted Citation Impact
1.88
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Zero marking in inflection

Laura Becker
1 citations
Journal of Language Modelling
Linguistic Variation and Morphology
1.88
article

Zero marking in inflection

Laura Becker
article en
1 citations

Abstract

This study examines zero marking, i.e. the absence of an overt exponent, in adjectival, nominal, and verbal inflectional morphology across languages. The first part of the study provides an overview of the distribution of zero markers in inflection paradigms using the UniMorph dataset. The results show that there is a general preference against zero marking. The distribution of zero markers varies to a great extent across languages and lemmas, the only robust trend being that they are avoided in cells that express a high number of grammatical values. The second part of this study examines the association between marker frequencies and phonological length, using the Universal Dependencies treebanks. While token frequency is a good predictor for the length of overt markers, it does not account for the occurrence of zero markers. This is taken as evidence to support a differential non-development scenario of zero marking rather than a phonetic reduction scenario.

Journal of Language ModellingVol. 12(2)
University of Freiburg (DE)
Quality Education
Openalex Percentile: Top 12%
Linguistic Variation and Morphology
1.88
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.