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Bibliographic Details
Main Authors: Pannitto, Ludovica, Albanesi, Lorenzo, Marion, Laura, Martines, Federica Maria, Caruso, Carmelo, Bianchini, Claudia S., Masini, Francesca, Mauri, Caterina
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2410.15825
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Table of Contents:
  • The paper presents a pilot exploration of the construction, management and analysis of a multimodal corpus. Through a three-layer annotation that provides orthographic, prosodic, and gestural transcriptions, the Gest-IT resource allows to investigate the variation of gesture-making patterns in conversations between sighted people and people with visual impairment. After discussing the transcription methods and technical procedures employed in our study, we propose a unified CoNLL-U corpus and indicate our future steps