Phrasemes and Collocations in the Corpus – How to Find Unknown Variants

Abstract This paper addresses the identification and annotation of multiword expressions (MWEs) in Czech corpora, focusing on enhancing the search procedure through transformations of existing lexicon entries and the addition of new entries based on syntactic patterns. We discuss the limitations of current annotation systems and introduce a new, efficient annotation system that leverages a comprehensive MWE dictionary. Our methodology includes the use of syntactic patterns to identify new collocations, automatic transformations of known MWEs, and manual searches for creatively varied expressions. The results demonstrate significant improvements in the success rate of corpus annotation, with newly identified collocations and transformed MWEs contributing to a richer and more accurate linguistic resource.

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Publication Details

Journal
Journal of Linguistics/Jazykovedný casopis
Published
2025-06-01
DOI
https://doi.org/10.2478/jazcas-2025-0019
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Phrasemes and Collocations in the Corpus – How to Find Unknown Variants

Journal of Linguistics/Jazykovedný casopis
Natural Language Processing Techniques
article

Phrasemes and Collocations in the Corpus – How to Find Unknown Variants

article en

Abstract

Abstract This paper addresses the identification and annotation of multiword expressions (MWEs) in Czech corpora, focusing on enhancing the search procedure through transformations of existing lexicon entries and the addition of new entries based on syntactic patterns. We discuss the limitations of current annotation systems and introduce a new, efficient annotation system that leverages a comprehensive MWE dictionary. Our methodology includes the use of syntactic patterns to identify new collocations, automatic transformations of known MWEs, and manual searches for creatively varied expressions. The results demonstrate significant improvements in the success rate of corpus annotation, with newly identified collocations and transformed MWEs contributing to a richer and more accurate linguistic resource.

Journal of Linguistics/Jazykovedný casopisVol. 76(1)
Charles University (CZ)
Grantová Agentura České Republiky
Quality Education
Openalex Percentile: Top 21%
Natural Language Processing Techniques
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