A register approach to specialized word list creation

Abstract Specialized word lists (SWLs) can help language learners acquire domain-specific vocabulary; however, there are few such lists for legal domains despite the growing demand for resources in this area. Additionally, in list design and construction, register is rarely considered a meaningful component of design or validation despite the fact that register is one of the most meaningful predictors of linguistic variation, including lexical variation. The present study begins to fill these gaps by expanding on the Contracts Word List ( Hanks, Hashimoto, & Egbert 2024 ) in creating subregister specific lists for 54 types of contracts (CWL+). SWLs within the Contracts Word List were generated relying heavily on text-dispersion keyness analysis ( Egbert & Biber 2019 ), and their usefulness was validated through percent coverage statistics and register analysis. This study illustrates the usefulness of keyness analysis in word list creation and the constructive role that register can play in the design and evaluation of SWLs.

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Publication Details

Journal
Register Studies
Published
2025-05-02
DOI
https://doi.org/10.1075/rs.25004.lar
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
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article

A register approach to specialized word list creation

Kyra Larsen, Brett Hashimoto, Jesse Egbert, Elizabeth Hanks et al.
Register Studies
Natural Language Processing Techniques
article

A register approach to specialized word list creation

Kyra Larsen, Brett Hashimoto, Jesse Egbert, Elizabeth Hanks, McKayla Lindman
article en

Abstract

Abstract Specialized word lists (SWLs) can help language learners acquire domain-specific vocabulary; however, there are few such lists for legal domains despite the growing demand for resources in this area. Additionally, in list design and construction, register is rarely considered a meaningful component of design or validation despite the fact that register is one of the most meaningful predictors of linguistic variation, including lexical variation. The present study begins to fill these gaps by expanding on the Contracts Word List ( Hanks, Hashimoto, & Egbert 2024 ) in creating subregister specific lists for 54 types of contracts (CWL+). SWLs within the Contracts Word List were generated relying heavily on text-dispersion keyness analysis ( Egbert & Biber 2019 ), and their usefulness was validated through percent coverage statistics and register analysis. This study illustrates the usefulness of keyness analysis in word list creation and the constructive role that register can play in the design and evaluation of SWLs.

Register StudiesVol. 7(1)
Brigham Young University (US), University of Arizona (US), Northern Arizona University (US), Lancaster University (GB)
Openalex Percentile: Top 96%
Natural Language Processing Techniques
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A register approach to specialized word list creation — Kyra Larsen, Brett Hashimoto, et al. · Register Studies (2025) | TGRS Research Map | TGRS