@inproceedings{fiumara-etal-2022-nieuw,
title = "The {NIEUW} Project: Developing Language Resources through Novel Incentives",
author = "Fiumara, James and
Cieri, Christopher and
Liberman, Mark and
Callison-Burch, Chris and
Wright, Jonathan and
Parker, Robert",
editor = "Callison-Burch, Chris and
Cieri, Christopher and
Fiumara, James and
Liberman, Mark",
booktitle = "Proceedings of the 2nd Workshop on Novel Incentives in Data Collection from People: models, implementations, challenges and results within LREC 2022",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.nidcp-1.1",
pages = "1--7",
abstract = "This paper provides an overview and update on the Linguistic Data Consortium{'}s (LDC) NIEUW (Novel Incentives and Workflows) project supported by the National Science Foundation and part of LDC{'}s larger goal of improving the cost, variety, scale, and quality of language resources available for education, research, and technology development. NIEUW leverages the power of novel incentives to elicit linguistic data and annotations from a wide variety of contributors including citizen scientists, game players, and language students and professionals. In order to align appropriate incentives with the various contributors, LDC has created three distinct web portals to bring together researchers and other language professionals with participants best suited to their project needs. These portals include LanguageARC designed for citizen scientists, Machina Pro Linguistica designed for students and language professionals, and LingoBoingo designed for game players. The design, interface, and underlying tools for each web portal were developed to appeal to the different incentives and motivations of their respective target audiences.",
}
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%0 Conference Proceedings
%T The NIEUW Project: Developing Language Resources through Novel Incentives
%A Fiumara, James
%A Cieri, Christopher
%A Liberman, Mark
%A Callison-Burch, Chris
%A Wright, Jonathan
%A Parker, Robert
%Y Callison-Burch, Chris
%Y Cieri, Christopher
%Y Fiumara, James
%Y Liberman, Mark
%S Proceedings of the 2nd Workshop on Novel Incentives in Data Collection from People: models, implementations, challenges and results within LREC 2022
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F fiumara-etal-2022-nieuw
%X This paper provides an overview and update on the Linguistic Data Consortium’s (LDC) NIEUW (Novel Incentives and Workflows) project supported by the National Science Foundation and part of LDC’s larger goal of improving the cost, variety, scale, and quality of language resources available for education, research, and technology development. NIEUW leverages the power of novel incentives to elicit linguistic data and annotations from a wide variety of contributors including citizen scientists, game players, and language students and professionals. In order to align appropriate incentives with the various contributors, LDC has created three distinct web portals to bring together researchers and other language professionals with participants best suited to their project needs. These portals include LanguageARC designed for citizen scientists, Machina Pro Linguistica designed for students and language professionals, and LingoBoingo designed for game players. The design, interface, and underlying tools for each web portal were developed to appeal to the different incentives and motivations of their respective target audiences.
%U https://aclanthology.org/2022.nidcp-1.1
%P 1-7
Markdown (Informal)
[The NIEUW Project: Developing Language Resources through Novel Incentives](https://aclanthology.org/2022.nidcp-1.1) (Fiumara et al., NIDCP 2022)
ACL
- James Fiumara, Christopher Cieri, Mark Liberman, Chris Callison-Burch, Jonathan Wright, and Robert Parker. 2022. The NIEUW Project: Developing Language Resources through Novel Incentives. In Proceedings of the 2nd Workshop on Novel Incentives in Data Collection from People: models, implementations, challenges and results within LREC 2022, pages 1–7, Marseille, France. European Language Resources Association.