@inproceedings{sanders-etal-2016-palabras,
title = "{P}alabras: Crowdsourcing Transcriptions of {L}2 Speech",
author = "Sanders, Eric and
Burgos, Pepi and
Cucchiarini, Catia and
van Hout, Roeland",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Goggi, Sara and
Grobelnik, Marko and
Maegaard, Bente and
Mariani, Joseph and
Mazo, Helene and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
month = may,
year = "2016",
address = "Portoro{\v{z}}, Slovenia",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L16-1508",
pages = "3186--3191",
abstract = "We developed a web application for crowdsourcing transcriptions of Dutch words spoken by Spanish L2 learners. In this paper we discuss the design of the application and the influence of metadata and various forms of feedback. Useful data were obtained from 159 participants, with an average of over 20 transcriptions per item, which seems a satisfactory result for this type of research. Informing participants about how many items they still had to complete, and not how many they had already completed, turned to be an incentive to do more items. Assigning participants a score for their performance made it more attractive for them to carry out the transcription task, but this seemed to influence their performance. We discuss possible advantages and disadvantages in connection with the aim of the research and consider possible lessons for designing future experiments.",
}
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%0 Conference Proceedings
%T Palabras: Crowdsourcing Transcriptions of L2 Speech
%A Sanders, Eric
%A Burgos, Pepi
%A Cucchiarini, Catia
%A van Hout, Roeland
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Grobelnik, Marko
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Helene
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 May
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F sanders-etal-2016-palabras
%X We developed a web application for crowdsourcing transcriptions of Dutch words spoken by Spanish L2 learners. In this paper we discuss the design of the application and the influence of metadata and various forms of feedback. Useful data were obtained from 159 participants, with an average of over 20 transcriptions per item, which seems a satisfactory result for this type of research. Informing participants about how many items they still had to complete, and not how many they had already completed, turned to be an incentive to do more items. Assigning participants a score for their performance made it more attractive for them to carry out the transcription task, but this seemed to influence their performance. We discuss possible advantages and disadvantages in connection with the aim of the research and consider possible lessons for designing future experiments.
%U https://aclanthology.org/L16-1508
%P 3186-3191
Markdown (Informal)
[Palabras: Crowdsourcing Transcriptions of L2 Speech](https://aclanthology.org/L16-1508) (Sanders et al., LREC 2016)
ACL
- Eric Sanders, Pepi Burgos, Catia Cucchiarini, and Roeland van Hout. 2016. Palabras: Crowdsourcing Transcriptions of L2 Speech. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 3186–3191, Portorož, Slovenia. European Language Resources Association (ELRA).