Looks can be Deceptive: Distinguishing Repetition Disfluency from Reduplication
원문 초록
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.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
The Devil Is in the Word Alignment Details: On Translation-Based Cross-Lingual Transfer for Token Classification Tasks
Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation
LettuceDetect: A Hallucination Detection Framework for RAG Applications
POS-tagging to highlight the skeletal structure of sentences
AutoTrain: No-code training for state-of-the-art models
GUS-Net: Social Bias Classification in Text with Generalizations, Unfairness, and Stereotypes
토론
이 논문과 연결된 포럼 글이 아직 없습니다.