Toward a Paradigm Shift in Collection of Learner Corpora

Anisia Katinskaia; Sardana Ivanova; Roman Yangarber

Toward a Paradigm Shift in Collection of Learner Corpora

Anisia Katinskaia, Sardana Ivanova, Roman Yangarber

Research output: Conference materials › Paper

Abstract

We present the first version of the longitudinal Revita Learner Corpus (ReLCo), for Russian. In contrast to traditional learner corpora, ReLCo is collected and annotated fully automatically, while students perform exercises using the Revita language-learning platform. The corpus currently contains 8 422 sentences exhibiting several types of errorsâ€”grammatical, lexical, orthographic, etc.â€”which were committed by learners during practice and were automatically annotated by Revita. The corpus provides valuable information about patterns of learner errors and can be used as a language resource for a number of research tasks, while its creation is much cheaper and faster than for traditional learner corpora. A crucial advantage of ReLCo that it grows continually while learners practice with Revita, which opens the possibility of creating an unlimited learner resource with longitudinal data collected over time. We make the pilot version of the Russian ReLCo publicly available.

Original language	English
Pages	379
Number of pages	384
Publication status	Published - 2020
MoE publication type	Not Eligible
Event	The 12th Language Resources and Evaluation Conference - Le Palais du Pharo, Marseille, France Duration: 11 May 2020 → 16 May 2020 Conference number: 12 https://lrec2020.lrec-conf.org/

Conference

Conference	The 12th Language Resources and Evaluation Conference
Abbreviated title	LREC 2020
Country	France
City	Marseille
Period	11/05/2020 → 16/05/2020
Internet address	https://lrec2020.lrec-conf.org/

Cite this

Katinskaia, A., Ivanova, S., & Yangarber, R. (2020). Toward a Paradigm Shift in Collection of Learner Corpora. 379. Paper presented at The 12th Language Resources and Evaluation Conference, Marseille, France.

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title = "Toward a Paradigm Shift in Collection of Learner Corpora",

abstract = "We present the first version of the longitudinal Revita Learner Corpus (ReLCo), for Russian. In contrast to traditional learner corpora, ReLCo is collected and annotated fully automatically, while students perform exercises using the Revita language-learning platform. The corpus currently contains 8 422 sentences exhibiting several types of errors{\^a}€”grammatical, lexical, orthographic, etc.{\^a}€”which were committed by learners during practice and were automatically annotated by Revita. The corpus provides valuable information about patterns of learner errors and can be used as a language resource for a number of research tasks, while its creation is much cheaper and faster than for traditional learner corpora. A crucial advantage of ReLCo that it grows continually while learners practice with Revita, which opens the possibility of creating an unlimited learner resource with longitudinal data collected over time. We make the pilot version of the Russian ReLCo publicly available.",

author = "Anisia Katinskaia and Sardana Ivanova and Roman Yangarber",

year = "2020",

language = "English",

pages = "379",

note = "The 12th Language Resources and Evaluation Conference, LREC 2020 ; Conference date: 11-05-2020 Through 16-05-2020",

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AU - Katinskaia, Anisia

AU - Ivanova, Sardana

AU - Yangarber, Roman

PY - 2020

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N2 - We present the first version of the longitudinal Revita Learner Corpus (ReLCo), for Russian. In contrast to traditional learner corpora, ReLCo is collected and annotated fully automatically, while students perform exercises using the Revita language-learning platform. The corpus currently contains 8 422 sentences exhibiting several types of errorsâ€”grammatical, lexical, orthographic, etc.â€”which were committed by learners during practice and were automatically annotated by Revita. The corpus provides valuable information about patterns of learner errors and can be used as a language resource for a number of research tasks, while its creation is much cheaper and faster than for traditional learner corpora. A crucial advantage of ReLCo that it grows continually while learners practice with Revita, which opens the possibility of creating an unlimited learner resource with longitudinal data collected over time. We make the pilot version of the Russian ReLCo publicly available.

AB - We present the first version of the longitudinal Revita Learner Corpus (ReLCo), for Russian. In contrast to traditional learner corpora, ReLCo is collected and annotated fully automatically, while students perform exercises using the Revita language-learning platform. The corpus currently contains 8 422 sentences exhibiting several types of errorsâ€”grammatical, lexical, orthographic, etc.â€”which were committed by learners during practice and were automatically annotated by Revita. The corpus provides valuable information about patterns of learner errors and can be used as a language resource for a number of research tasks, while its creation is much cheaper and faster than for traditional learner corpora. A crucial advantage of ReLCo that it grows continually while learners practice with Revita, which opens the possibility of creating an unlimited learner resource with longitudinal data collected over time. We make the pilot version of the Russian ReLCo publicly available.

M3 - Paper

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ER -