Looks can be Deceptive: Distinguishing Repetition Disfluency from Reduplication

Arif Ahmad; Mothika Gayathri Khyathi; Pushpak Bhattacharyya

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arXiv · 2407.08147

Looks can be Deceptive: Distinguishing Repetition Disfluency from Reduplication

Arif Ahmad·Mothika Gayathri Khyathi·Pushpak Bhattacharyya

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Abstract

Reduplication and repetition, though similar in form, serve distinct linguistic purposes. Reduplication is a deliberate morphological process used to express grammatical, semantic, or pragmatic nuances, while repetition is often unintentional and indicative of disfluency. This paper presents the first large-scale study of reduplication and repetition in speech using computational linguistics. We introduce IndicRedRep, a new publicly available dataset containing Hindi, Telugu, and Marathi text annotated with reduplication and repetition at the word level. We evaluate transformer-based models for multi-class reduplication and repetition token classification, utilizing the Reparandum-Interregnum-Repair structure to distinguish between the two phenomena. Our models achieve macro F1 scores of up to 85.62% in Hindi, 83.95% in Telugu, and 84.82% in Marathi for reduplication-repetition classification.

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Arif Ahmad, Mothika Gayathri Khyathi, Pushpak Bhattacharyya. 2024-07-11. Looks can be Deceptive: Distinguishing Repetition Disfluency from Reduplication. https://arxiv.org/abs/2407.08147

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