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This paper introduces the first systematic guidelines for Labovian narrative analysis of Japanese oral narratives, adapting the established English-language framework to the unique grammatical and discourse features of Japanese. The guidelines provide explicit rules for clause segmentation tailored to Japanese constructions and cover a broader range of clause and narrative types than existing frameworks. Experiments using these guidelines achieved high inter-annotator agreement in clause segmentation (Fleiss' kappa = 0.80) and moderate agreement in structural classification (Krippendorff's alpha = 0.41 and 0.45).
Adapting Labovian narrative analysis to Japanese reveals the challenges and opportunities in cross-linguistic qualitative research, highlighting the need for language-specific guidelines.
Narrative analysis is a cornerstone of qualitative research. One leading approach is the Labovian model, but its application is labor-intensive, requiring a holistic, recursive interpretive process that moves back and forth between individual parts of the transcript and the transcript as a whole. Existing Labovian datasets are available only in English, which differs markedly from Japanese in terms of grammar and discourse conventions. To address this gap, we introduce the first systematic guidelines for Labovian narrative analysis of Japanese narrative data. Our guidelines retain all six Labovian categories and extend the framework by providing explicit rules for clause segmentation tailored to Japanese constructions. In addition, our guidelines cover a broader range of clause types and narrative types. Using these guidelines, annotators achieved high agreement in clause segmentation (Fleiss'kappa = 0.80) and moderate agreement in two structural classification tasks (Krippendorff's alpha = 0.41 and 0.45, respectively), one of which is slightly higher than that found in prior work despite the use of finer-grained distinctions. This paper describes the Labovian model, the proposed guidelines, the annotation process, and their utility. It concludes by discussing the challenges encountered during the annotation process and the prospects for developing a larger dataset for structural narrative analysis in Japanese qualitative research.
