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.).

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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
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article

SCHQL (Structure Chinese Query Language): A SQL Parser for Bridging Language Gaps in SQL Environments

Sheng Lin, Bruce Mills
The Pinnacle A Journal by Scholar-Practitioners
Advanced Computational Techniques and Applications
article

SCHQL (Structure Chinese Query Language): A SQL Parser for Bridging Language Gaps in SQL Environments

Sheng Lin, Bruce Mills
article en

Abstract

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.).

The Pinnacle A Journal by Scholar-PractitionersVol. 3(2)
Openalex Percentile: Top 87%
Advanced Computational Techniques and Applications
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SCHQL (Structure Chinese Query Language): A SQL Parser for Bridging Language Gaps in SQL Environments — Sheng Lin, Bruce Mills · The Pinnacle A Journal by Scholar-Practitioners (2025) | TGRS Research Map | TGRS