A law of meaning

This article rejects the canonical ideal of a one-to-one correspondence between meaning and marker and proposes a set-theoretical and optimality-based law for the relationship between meaning and its markers which allows for distinguishing true markers (such as not, no, never for negation) from otherwise associated items (such as negative polarity items as but, any):a meaning is expressed by the set of non-randomly recurrent markers that together are the best collocation of that meaning. We implement the law in an algorithm using Dunning’s log-likelihood and illustrate it by extracting markers for ‘know’, negation, first person subject and complementizers from translations of the New Testament in a variety sample of 83 languages with manual evaluation of all extracted markers. Markers are extracted from unannotated texts (with lexemes being just a special case of marker-set coalition phenomena) considering just one meaning at a time (without any need for accounting for specific coexpression types).

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-26
DOI
https://doi.org/10.5281/zenodo.14224124
Primary Topic
Authorship Attribution and Profiling
Type
article
Field-Weighted Citation Impact
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article

A law of meaning

Zenodo (CERN European Organization for Nuclear Research)
Authorship Attribution and Profiling
article

A law of meaning

article en

Abstract

This article rejects the canonical ideal of a one-to-one correspondence between meaning and marker and proposes a set-theoretical and optimality-based law for the relationship between meaning and its markers which allows for distinguishing true markers (such as not, no, never for negation) from otherwise associated items (such as negative polarity items as but, any):a meaning is expressed by the set of non-randomly recurrent markers that together are the best collocation of that meaning. We implement the law in an algorithm using Dunning’s log-likelihood and illustrate it by extracting markers for ‘know’, negation, first person subject and complementizers from translations of the New Testament in a variety sample of 83 languages with manual evaluation of all extracted markers. Markers are extracted from unannotated texts (with lexemes being just a special case of marker-set coalition phenomena) considering just one meaning at a time (without any need for accounting for specific coexpression types).

Zenodo (CERN European Organization for Nuclear Research)
Stockholm University (SE)
Peace, Justice and strong institutions
Openalex Percentile: Top 57%
Authorship Attribution and Profiling
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