SCHQL (Structure Chinese Query Language): A SQL Parser for Bridging Language Gaps in SQL Environments
This methodological paper introduces a Structured Chinese Query Language (SCHQL), an author-designed SQL parser/translator for enhancing the accessibility and usability of Relational Database Management Systems (RDBMS) for Chinese language users by facilitating the translation of SQL (structured query language) keywords into Chinese. The PHP language is used as front-end to the RDBMS (relational database management system) enabling users to perform Create, Read, Update, and Delete (CRUD) operations directly within the browser’s query editor using Chinese characters replacing English key-words shown in the keyword pairs array of the script. While no participants were involved in this study, the parser has the potential to alleviate cognitive load, making database interactions more intuitive for non-English (Chinese) speakers. Cognitive load is not researched here, however it is discussed and referenced. The parser has been tested, with results demonstrated in the figures presented. This paper details the development, implementation, and evaluation of SCHQL, underscoring its potential to bridge the language gap in RDBMS interaction, not just in Chinese language domain but other language pairs as well. Future research is open to user testing to assess the tool's effectiveness and usability across diverse languages, potentially contributing to global SQL accessibility. This project is compliant with the Inclusive Language Guide (American Psychological Association, n.d.).
Authors
- Sheng Lin (ORCID: https://orcid.org/0000-0001-9886-8446)
- Bruce Mills
Publication Details
- Journal
- The Pinnacle A Journal by Scholar-Practitioners
- Published
- 2025-09-15
- DOI
- https://doi.org/10.61643/c79757
- Primary Topic
- Advanced Computational Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00