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Main Authors: Avramidis, Eleftherios, Czehmann, Vera, Deckert, Fabian, Hufe, Lorenz, Lipski, Aljoscha, Villalobos, Yuni Amaloa Quintero, Rhee, Tae Kwon, Shi, Mengqian, Stölting, Lennart, Nunnari, Fabrizio, Möller, Sebastian
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2508.05374
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author Avramidis, Eleftherios
Czehmann, Vera
Deckert, Fabian
Hufe, Lorenz
Lipski, Aljoscha
Villalobos, Yuni Amaloa Quintero
Rhee, Tae Kwon
Shi, Mengqian
Stölting, Lennart
Nunnari, Fabrizio
Möller, Sebastian
author_facet Avramidis, Eleftherios
Czehmann, Vera
Deckert, Fabian
Hufe, Lorenz
Lipski, Aljoscha
Villalobos, Yuni Amaloa Quintero
Rhee, Tae Kwon
Shi, Mengqian
Stölting, Lennart
Nunnari, Fabrizio
Möller, Sebastian
contents We present a collection of parallel corpora of 12 sign languages in video format, together with subtitles in the dominant spoken languages of the corresponding countries. The entire collection includes more than 1,300 hours in 4,381 video files, accompanied by 1,3~M subtitles containing 14~M tokens. Most notably, it includes the first consistent parallel corpora for 8 Latin American sign languages, whereas the size of the German Sign Language corpora is ten times the size of the previously available corpora. The collection was created by collecting and processing videos of multiple sign languages from various online sources, mainly broadcast material of news shows, governmental bodies and educational channels. The preparation involved several stages, including data collection, informing the content creators and seeking usage approvals, scraping, and cropping. The paper provides statistics on the collection and an overview of the methods used to collect the data.
format Preprint
id arxiv_https___arxiv_org_abs_2508_05374
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle The TUB Sign Language Corpus Collection
Avramidis, Eleftherios
Czehmann, Vera
Deckert, Fabian
Hufe, Lorenz
Lipski, Aljoscha
Villalobos, Yuni Amaloa Quintero
Rhee, Tae Kwon
Shi, Mengqian
Stölting, Lennart
Nunnari, Fabrizio
Möller, Sebastian
Computation and Language
We present a collection of parallel corpora of 12 sign languages in video format, together with subtitles in the dominant spoken languages of the corresponding countries. The entire collection includes more than 1,300 hours in 4,381 video files, accompanied by 1,3~M subtitles containing 14~M tokens. Most notably, it includes the first consistent parallel corpora for 8 Latin American sign languages, whereas the size of the German Sign Language corpora is ten times the size of the previously available corpora. The collection was created by collecting and processing videos of multiple sign languages from various online sources, mainly broadcast material of news shows, governmental bodies and educational channels. The preparation involved several stages, including data collection, informing the content creators and seeking usage approvals, scraping, and cropping. The paper provides statistics on the collection and an overview of the methods used to collect the data.
title The TUB Sign Language Corpus Collection
topic Computation and Language
url https://arxiv.org/abs/2508.05374