Annotation of LSF subtitled videos without a pre-existing dictionary - Laboratoire Interdisciplinaire des Sciences du Numérique Access content directly
Conference Papers Year : 2024

Annotation of LSF subtitled videos without a pre-existing dictionary

Abstract

This paper proposes a method for the automatic annotation of lexical units in LSF videos, using a subtitled corpus without annotation. This method, based on machine learning and involving linguists for added precision and reliability, comprises several stages. The first consists of building a bilingual lexicon (including potential variants of a given lexical unit) in a weakly supervised manner. The resulting lexicon is then refined and cleaned by LSF experts. This data serves next to train a supervised classifier for automatic annotation of lexical units on the Mediapi-RGB corpus. Our Pytorch implementation is publicly available.
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Dates and versions

hal-04593866 , version 1 (30-05-2024)

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  • HAL Id : hal-04593866 , version 1

Cite

Julie Lascar, Michèle Gouiffès, Annelies Braffort, Claire Danet. Annotation of LSF subtitled videos without a pre-existing dictionary. LREC-COLING 2024 11th Workshop on the Representation and Processing of Sign Languages: Evaluation of Sign Language Resources, May 2024, Turin (IT), Italy. pp.100-108. ⟨hal-04593866⟩
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