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Proceedings of the Second International Workshop on Automatic Translation for Signed and Spoken Languages

Dimitar Shterionov; Mirella De Sisto; Davy Van Landuyt; Rehana Omardeen; Shaun O'Boyle; Annelies Braffort; Floris Roelofsen; Frédéric Blain; Bram Vanroy; Eleftherios Avramidis (Hrsg.)
International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL-2023), located at 24th Annual Conference of The European Association for Machine Translation (EAMT2023), June 15, Tampere, Finland, European Association for Machine Translation (EAMT), 6/2023.

Abstract

This volume contains the proceedings of the Second International Workshop on Automatic Translation for Sign and Spoken Languages (AT4SSL 2023)1, hosted by the 24th Annual Conference of The European Association for Machine Translation (EAMT 2023). This workshop is a venue for presenting and discussing (complete, ongoing or future) research on automatic translation between sign and spoken languages. The main theme of the 2023 edition of the AT4SSL workshop is Sign language parallel data – challenges, solutions and resolutions: Data is one of the key factors for the success of today’s AI, including language and translation models for sign and spoken languages. However, when it comes to processing sign language and training machine-learning systems we face the problems of small volumes of (parallel) data, large veracity in terms of origin of annotations (deaf or hearing interpreters), non-standardized annotations (e.g. glosses differ across corpora), video quality or recording setting, and others. In this edition of the workshop we focus on the discussion of data quantity, data quality, (re)sources, ethical and ownership concerns.

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