A New English-Dutch-NGT Corpus for the Hospitality Domain

Mirella De Sisto; Vincent Vandeghinste; Dimitar Shterionov

A New English-Dutch-NGT Corpus for the Hospitality Domain

Mirella De Sisto, Vincent Vandeghinste, Dimitar Shterionov

Cognitive Science & AI

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Abstract

One of the major challenges hampering the development of language technology
which targets sign languages is the extremely limited availability of good quality data geared towards machine learning and deep learning approaches. In this paper we introduce the NGT-Dutch Hotel Review Corpus (NGT-HoReCo), which addresses this issue by providing multi-modal parallel data in English, Dutch and Sign Language of the Netherlands (NGT). The corpus contains 297 hotel reviews in written English (21.464 words), translated into written Dutch (22.274 words) and into NGT videos (230,54 minutes). It is publicly available through the ELG and the CLARIN platforms.

Original language	English
Title of host publication	Proceedings of the Second International Workshop on Automatic Translation for Signed and Spoken Languages
Publisher	ACL Anthology
Pages	39-42
Number of pages	4
ISBN (Print)	978-989-33-0589-8
Publication status	Accepted/In press - 2023
Event	2nd International Workshop on Automatic Translation for Signed and Spoken Languages - Tampere, Finland Duration: 15 Jun 2023 → 15 Jun 2023 https://sites.google.com/tilburguniversity.edu/at4ssl2023/

Workshop

Workshop	2nd International Workshop on Automatic Translation for Signed and Spoken Languages
Country/Territory	Finland
City	Tampere
Period	15/06/23 → 15/06/23
Internet address	https://sites.google.com/tilburguniversity.edu/at4ssl2023/

Keywords

Sign languages
Machine learning
NGT-Dutch Hotel Review Corpus
Dutch language

Cite this

@inproceedings{ed28ce41c0c8490e999498d2a18484d6,

title = "A New English-Dutch-NGT Corpus for the Hospitality Domain",

abstract = "One of the major challenges hampering the development of language technologywhich targets sign languages is the extremely limited availability of good quality data geared towards machine learning and deep learning approaches. In this paper we introduce the NGT-Dutch Hotel Review Corpus (NGT-HoReCo), which addresses this issue by providing multi-modal parallel data in English, Dutch and Sign Language of the Netherlands (NGT). The corpus contains 297 hotel reviews in written English (21.464 words), translated into written Dutch (22.274 words) and into NGT videos (230,54 minutes). It is publicly available through the ELG and the CLARIN platforms.",

keywords = "Sign languages, Machine learning, NGT-Dutch Hotel Review Corpus, Dutch language",

author = "{De Sisto}, Mirella and Vincent Vandeghinste and Dimitar Shterionov",

year = "2023",

language = "English",

isbn = "978-989-33-0589-8",

pages = "39--42",

booktitle = "Proceedings of the Second International Workshop on Automatic Translation for Signed and Spoken Languages",

publisher = "ACL Anthology",

note = "2nd International Workshop on<br/>Automatic Translation for Signed and Spoken Languages ; Conference date: 15-06-2023 Through 15-06-2023",

url = "https://sites.google.com/tilburguniversity.edu/at4ssl2023/",

}

A New English-Dutch-NGT Corpus for the Hospitality Domain. / De Sisto, Mirella; Vandeghinste, Vincent; Shterionov, Dimitar.
Proceedings of the Second International Workshop on Automatic Translation for Signed and Spoken Languages. ACL Anthology, 2023. p. 39-42.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - A New English-Dutch-NGT Corpus for the Hospitality Domain

AU - De Sisto, Mirella

AU - Vandeghinste, Vincent

AU - Shterionov, Dimitar

PY - 2023

Y1 - 2023

N2 - One of the major challenges hampering the development of language technologywhich targets sign languages is the extremely limited availability of good quality data geared towards machine learning and deep learning approaches. In this paper we introduce the NGT-Dutch Hotel Review Corpus (NGT-HoReCo), which addresses this issue by providing multi-modal parallel data in English, Dutch and Sign Language of the Netherlands (NGT). The corpus contains 297 hotel reviews in written English (21.464 words), translated into written Dutch (22.274 words) and into NGT videos (230,54 minutes). It is publicly available through the ELG and the CLARIN platforms.

AB - One of the major challenges hampering the development of language technologywhich targets sign languages is the extremely limited availability of good quality data geared towards machine learning and deep learning approaches. In this paper we introduce the NGT-Dutch Hotel Review Corpus (NGT-HoReCo), which addresses this issue by providing multi-modal parallel data in English, Dutch and Sign Language of the Netherlands (NGT). The corpus contains 297 hotel reviews in written English (21.464 words), translated into written Dutch (22.274 words) and into NGT videos (230,54 minutes). It is publicly available through the ELG and the CLARIN platforms.

KW - Sign languages

KW - Machine learning

KW - NGT-Dutch Hotel Review Corpus

KW - Dutch language

M3 - Conference contribution

SN - 978-989-33-0589-8

SP - 39

EP - 42

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

PB - ACL Anthology

T2 - 2nd International Workshop on<br/>Automatic Translation for Signed and Spoken Languages

Y2 - 15 June 2023 through 15 June 2023

ER -

A New English-Dutch-NGT Corpus for the Hospitality Domain

Abstract

Workshop

Keywords

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Cite this