Corpus-Based Translation Studies
Building and analyzing multilingual corpora to identify translation patterns, style, discourse features, and mediation effects across genres.
The Hong Kong Polytechnic University
Trans-Lab
Quantitative Translation Research Laboratory
We study translation, interpreting, language education, and cross-linguistic communication through corpus evidence, quantitative methods, and human-centered artificial intelligence.
90+
Research outputs
11
Funded projects
4
Research pillars
3
Public platforms
About the lab
Evidence-driven translation and language research
Trans-Lab is a research group at PolyU dedicated to empirical translation studies, corpus-based language research, and AI-enhanced translation education. The lab brings together faculty, doctoral researchers, collaborators, and digital resources for studying how translation works across texts, domains, modalities, and learning environments.
Our work combines linguistic theory, corpus methods, computational analysis, and pedagogy. We build research corpora, examine translation and interpreting phenomena, and design AI-supported tools that help researchers, teachers, students, and language professionals work with evidence.
Research environment
Department of Language Science and Technology
Faculty of Humanities
The Hong Kong Polytechnic University
Research pillars
Focused areas with shared methods
AI and Translation Education
Designing AI-supported learning environments, feedback systems, and corpus platforms for translator training and academic writing.
Quantitative and Empirical Methods
Using computational linguistics, quantitative metrics, and experimental evidence to examine translation, interpreting, readability, and complexity.
Literary and Cultural Translation
Studying literary translation, especially Hongloumeng translation, through stylistic, corpus-assisted, and cross-cultural perspectives.
Current and recent work
Projects that connect research, teaching, and tools
GenAI-integrated corpus platform
A platform for corpus-assisted language and translation learning with generative AI support.
Modality in common law judicial discourse
Quantitative investigation of modality across legal discourse and translation contexts.
Translation or mediation universals
Corpus-based research on mediation effects and translational patterns across language pairs.
Selected outputs
Recent publications and books
2026
Exploring semantic distinctions and syntagmatic patterning in lexical simplification and complexification
Journal of Quantitative Linguistics
2025
Translation Studies in the Age of Artificial Intelligence
Routledge edited volume
2024
Corpus-based approaches to translation, interpreting, readability, and language education
Recent journal and digital humanities research
Resources
Platforms, corpora, and teaching materials
Collaboration
Work with Trans-Lab
We welcome conversations with researchers, students, teachers, and industry partners interested in empirical translation studies, AI-supported language education, and corpus-based methods.