  Adapting questionnaires to new languages is a resource-intensive process
often requiring the hiring of multiple independent translators, which limits
the ability of researchers to conduct cross-cultural research and effectively
creates inequalities in research and society. This work presents a prototype
tool that can expedite the questionnaire translation process. The tool
incorporates forward-backward translation using DeepL alongside GPT-4-generated
translation quality evaluations and improvement suggestions. We conducted two
online studies in which participants translated questionnaires from English to
either German (Study 1; n=10) or Portuguese (Study 2; n=20) using our
prototype. To evaluate the quality of the translations created using the tool,
evaluation scores between conventionally translated and tool-supported versions
were compared. Our results indicate that integrating LLM-generated translation
quality evaluations and suggestions for improvement can help users
independently attain results similar to those provided by conventional,
non-NLP-supported translation methods. This is the first step towards more
equitable questionnaire-based research, powered by AI.
