@inproceedings{fiumara-etal-2020-languagearc,
title = "{L}anguage{ARC}: Developing Language Resources Through Citizen Linguistics",
author = "Fiumara, James and
Cieri, Christopher and
Wright, Jonathan and
Liberman, Mark",
editor = "Fiumara, James and
Cieri, Christopher and
Liberman, Mark and
Callison-Burch, Chris",
booktitle = "Proceedings of the LREC 2020 Workshop on ``Citizen Linguistics in Language Resource Development''",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.cllrd-1.1",
pages = "1--6",
abstract = "This paper introduces the citizen science platform, LanguageARC, developed within the NIEUW (Novel Incentives and Workflows) project supported by the National Science Foundation under Grant No. 1730377. LanguageARC is a community-oriented online platform bringing together researchers and {``}citizen linguists{''} with the shared goal of contributing to linguistic research and language technology development. Like other Citizen Science platforms and projects, LanguageARC harnesses the power and efforts of volunteers who are motivated by the incentives of contributing to science, learning and discovery, and belonging to a community dedicated to social improvement. Citizen linguists contribute language data and judgments by participating in research tasks such as classifying regional accents from audio clips, recording audio of picture descriptions and answering personality questionnaires to create baseline data for NLP research into autism and neurodegenerative conditions. Researchers can create projects on Language ARC without any coding or HTML required using our Project Builder Toolkit.",
language = "English",
ISBN = "979-10-95546-59-7",
}
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<abstract>This paper introduces the citizen science platform, LanguageARC, developed within the NIEUW (Novel Incentives and Workflows) project supported by the National Science Foundation under Grant No. 1730377. LanguageARC is a community-oriented online platform bringing together researchers and “citizen linguists” with the shared goal of contributing to linguistic research and language technology development. Like other Citizen Science platforms and projects, LanguageARC harnesses the power and efforts of volunteers who are motivated by the incentives of contributing to science, learning and discovery, and belonging to a community dedicated to social improvement. Citizen linguists contribute language data and judgments by participating in research tasks such as classifying regional accents from audio clips, recording audio of picture descriptions and answering personality questionnaires to create baseline data for NLP research into autism and neurodegenerative conditions. Researchers can create projects on Language ARC without any coding or HTML required using our Project Builder Toolkit.</abstract>
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%0 Conference Proceedings
%T LanguageARC: Developing Language Resources Through Citizen Linguistics
%A Fiumara, James
%A Cieri, Christopher
%A Wright, Jonathan
%A Liberman, Mark
%Y Fiumara, James
%Y Cieri, Christopher
%Y Liberman, Mark
%Y Callison-Burch, Chris
%S Proceedings of the LREC 2020 Workshop on “Citizen Linguistics in Language Resource Development”
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-59-7
%G English
%F fiumara-etal-2020-languagearc
%X This paper introduces the citizen science platform, LanguageARC, developed within the NIEUW (Novel Incentives and Workflows) project supported by the National Science Foundation under Grant No. 1730377. LanguageARC is a community-oriented online platform bringing together researchers and “citizen linguists” with the shared goal of contributing to linguistic research and language technology development. Like other Citizen Science platforms and projects, LanguageARC harnesses the power and efforts of volunteers who are motivated by the incentives of contributing to science, learning and discovery, and belonging to a community dedicated to social improvement. Citizen linguists contribute language data and judgments by participating in research tasks such as classifying regional accents from audio clips, recording audio of picture descriptions and answering personality questionnaires to create baseline data for NLP research into autism and neurodegenerative conditions. Researchers can create projects on Language ARC without any coding or HTML required using our Project Builder Toolkit.
%U https://aclanthology.org/2020.cllrd-1.1
%P 1-6
Markdown (Informal)
[LanguageARC: Developing Language Resources Through Citizen Linguistics](https://aclanthology.org/2020.cllrd-1.1) (Fiumara et al., CLLRD 2020)
ACL