@inproceedings{settles-etal-2018-second,
title = "Second Language Acquisition Modeling",
author = "Settles, Burr and
Brust, Chris and
Gustafson, Erin and
Hagiwara, Masato and
Madnani, Nitin",
editor = "Tetreault, Joel and
Burstein, Jill and
Kochmar, Ekaterina and
Leacock, Claudia and
Yannakoudakis, Helen",
booktitle = "Proceedings of the Thirteenth Workshop on Innovative Use of {NLP} for Building Educational Applications",
month = jun,
year = "2018",
address = "New Orleans, Louisiana",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-0506",
doi = "10.18653/v1/W18-0506",
pages = "56--65",
abstract = "We present the task of \textit{second language acquisition (SLA) modeling}. Given a history of errors made by learners of a second language, the task is to predict errors that they are likely to make at arbitrary points in the future. We describe a large corpus of more than 7M words produced by more than 6k learners of English, Spanish, and French using Duolingo, a popular online language-learning app. Then we report on the results of a shared task challenge aimed studying the SLA task via this corpus, which attracted 15 teams and synthesized work from various fields including cognitive science, linguistics, and machine learning.",
}
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<abstract>We present the task of second language acquisition (SLA) modeling. Given a history of errors made by learners of a second language, the task is to predict errors that they are likely to make at arbitrary points in the future. We describe a large corpus of more than 7M words produced by more than 6k learners of English, Spanish, and French using Duolingo, a popular online language-learning app. Then we report on the results of a shared task challenge aimed studying the SLA task via this corpus, which attracted 15 teams and synthesized work from various fields including cognitive science, linguistics, and machine learning.</abstract>
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%0 Conference Proceedings
%T Second Language Acquisition Modeling
%A Settles, Burr
%A Brust, Chris
%A Gustafson, Erin
%A Hagiwara, Masato
%A Madnani, Nitin
%Y Tetreault, Joel
%Y Burstein, Jill
%Y Kochmar, Ekaterina
%Y Leacock, Claudia
%Y Yannakoudakis, Helen
%S Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F settles-etal-2018-second
%X We present the task of second language acquisition (SLA) modeling. Given a history of errors made by learners of a second language, the task is to predict errors that they are likely to make at arbitrary points in the future. We describe a large corpus of more than 7M words produced by more than 6k learners of English, Spanish, and French using Duolingo, a popular online language-learning app. Then we report on the results of a shared task challenge aimed studying the SLA task via this corpus, which attracted 15 teams and synthesized work from various fields including cognitive science, linguistics, and machine learning.
%R 10.18653/v1/W18-0506
%U https://aclanthology.org/W18-0506
%U https://doi.org/10.18653/v1/W18-0506
%P 56-65
Markdown (Informal)
[Second Language Acquisition Modeling](https://aclanthology.org/W18-0506) (Settles et al., BEA 2018)
ACL
- Burr Settles, Chris Brust, Erin Gustafson, Masato Hagiwara, and Nitin Madnani. 2018. Second Language Acquisition Modeling. In Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, pages 56–65, New Orleans, Louisiana. Association for Computational Linguistics.