Questionnaires for Everyone: Streamlining Cross-Cultural Questionnaire Adaptation with GPT-Based Translation Quality Evaluation
<|reference_start|>Questionnaires for Everyone: Streamlining Cross-Cultural Questionnaire Adaptation with GPT-Based Translation Quality Evaluation: 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.<|reference_end|>
@article{haavisto2024questionnaires,
    title={Questionnaires for Everyone: Streamlining Cross-Cultural Questionnaire
  Adaptation with GPT-Based Translation Quality Evaluation},
    author={Otso Haavisto and Robin Welsch},
    journal={arXiv preprint arXiv:2407.20608},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.20608},
    primaryClass={cs.HC cs.CL}
}