Do Frequency Types Matter in Lexicography?

Abstract Word frequency in a corpus can be calculated in several different ways. Amongst the most common frequency types are the absolute frequency, the document frequency, ALDF and ARF. This paper focuses on comparing these four types in terms of “word correctness.” For determining whether a word is correct or not, we use the data gathered for the Czech lexicon used for the recent Czech Dictionary Express project. In this project, each of the top 100,000 most frequent headwords was reviewed by several Czech native speakers, who decided whether the word should be accepted or rejected or has some minor issues. The quality of the “word correctness” is further discussed in the paper.

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Publication Details

Journal
Journal of Linguistics/Jazykovedný casopis
Published
2025-06-01
DOI
https://doi.org/10.2478/jazcas-2025-0027
Primary Topic
Authorship Attribution and Profiling
Type
article
Field-Weighted Citation Impact
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article

Do Frequency Types Matter in Lexicography?

Journal of Linguistics/Jazykovedný casopis
Authorship Attribution and Profiling
article

Do Frequency Types Matter in Lexicography?

article en

Abstract

Abstract Word frequency in a corpus can be calculated in several different ways. Amongst the most common frequency types are the absolute frequency, the document frequency, ALDF and ARF. This paper focuses on comparing these four types in terms of “word correctness.” For determining whether a word is correct or not, we use the data gathered for the Czech lexicon used for the recent Czech Dictionary Express project. In this project, each of the top 100,000 most frequent headwords was reviewed by several Czech native speakers, who decided whether the word should be accepted or rejected or has some minor issues. The quality of the “word correctness” is further discussed in the paper.

Journal of Linguistics/Jazykovedný casopisVol. 76(1)
Lexmark (United States) (US), Masaryk University (CZ)
Quality Education
Openalex Percentile: Top 21%
Authorship Attribution and Profiling
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