Formal corpus-based AZee analysis of interrogation in French Sign Language (LSF). Examined 12 Dicta-Sign LSF videos (~1h21m, 8 dyads) plus extra data, tagging 182 information-request occurrences. Tested the long-claimed open- vs closed-question eyebrow contrast and proposed a new formal AZee production rule.
@inproceedings{martinod-filhol-2024-formal,
title = "Formal Representation of Interrogation in {F}rench {S}ign {L}anguage",
author = "Martinod, Emmanuella and
Filhol, Michael",
editor = "Efthimiou, Eleni and
Fotinea, Stavroula-Evita and
Hanke, Thomas and
Hochgesang, Julie A. and
Mesch, Johanna and
Schulder, Marc",
booktitle = "Proceedings of the LREC-COLING 2024 11th Workshop on the Representation and Processing of Sign Languages: Evaluation of Sign Language Resources",
month = may,
year = "2024",
address = "Torino, Italia",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.signlang-1.26/",
pages = "235--243"
}
Paper
Title: Formal Representation of Interrogation in French Sign Language
Authors: Emmanuella Martinod, Michael Filhol
Venue: SignLang 2024 (LREC-COLING 2024 workshop)
ACL Anthology: https://aclanthology.org/2024.signlang-1.26/
Summary
Formal corpus-based AZee analysis of interrogation in French Sign Language (LSF). Examined 12 Dicta-Sign LSF videos (~1h21m, 8 dyads) plus extra data, tagging 182 information-request occurrences. Tested the long-claimed open- vs closed-question eyebrow contrast and proposed a new formal AZee production rule.
Results / Conclusions
Code & Data
Suggested Reproduction
Bibtex