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        <title>Approaching Sign Language Gloss Translation as a Low-Resource Machine Translation Task</title>
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            <title>Proceedings of the 1st International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL)</title>
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            <namePart type="given">Dimitar</namePart>
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    <abstract>A cascaded Sign Language Translation system first maps sign videos to gloss annotations and then translates glosses into a spoken languages. This work focuses on the second-stage gloss translation component, which is challenging due to the scarcity of publicly available parallel data. We approach gloss translation as a low-resource machine translation task and investigate two popular methods for improving translation quality: hyperparameter search and backtranslation. We discuss the potentials and pitfalls of these methods based on experiments on the RWTH-PHOENIX-Weather 2014T dataset.</abstract>
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%0 Conference Proceedings
%T Approaching Sign Language Gloss Translation as a Low-Resource Machine Translation Task
%A Zhang, Xuan
%A Duh, Kevin
%Y Shterionov, Dimitar
%S Proceedings of the 1st International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL)
%D 2021
%8 August
%I Association for Machine Translation in the Americas
%C Virtual
%F zhang-duh-2021-approaching
%X A cascaded Sign Language Translation system first maps sign videos to gloss annotations and then translates glosses into a spoken languages. This work focuses on the second-stage gloss translation component, which is challenging due to the scarcity of publicly available parallel data. We approach gloss translation as a low-resource machine translation task and investigate two popular methods for improving translation quality: hyperparameter search and backtranslation. We discuss the potentials and pitfalls of these methods based on experiments on the RWTH-PHOENIX-Weather 2014T dataset.
%U https://aclanthology.org/2021.mtsummit-at4ssl.7
%P 60-70

Markdown (Informal)

[Approaching Sign Language Gloss Translation as a Low-Resource Machine Translation Task](https://aclanthology.org/2021.mtsummit-at4ssl.7) (Zhang & Duh, MTSummit 2021)

• Approaching Sign Language Gloss Translation as a Low-Resource Machine Translation Task (Zhang & Duh, MTSummit 2021)

ACL

• Xuan Zhang and Kevin Duh. 2021. Approaching Sign Language Gloss Translation as a Low-Resource Machine Translation Task. In Proceedings of the 1st International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL), pages 60–70, Virtual. Association for Machine Translation in the Americas.