This tutorial demonstrates how to automate the scoring of accuracy for morphosyntactic forms using commercial Natural Language Processing (NLP) services, specifically within the context of elicited imitation (EI) tests commonly utilized in SLA research. We provide step-by-step instructions and example codes covering three key stages of processing Kim & Godfroid’s (2023) EI data: (1) speech-to-text transcription, (2) identification of morphosyntactic structures, and (3) the scoring algorithm. This method can be applied to various EI scoring schemes or other form-based automatic scoring tasks, enhancing the broader adoption and practical application of automated scoring in both research and educational settings.
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Kim et al. (2024) studied this question.
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