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Article
License: CC BY
Data sources: UnpayWall
https://doi.org/10.3115/v1/w15...
Article . 2015 . Peer-reviewed
Data sources: Crossref
DBLP
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Data sources: DBLP
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The Jinan Chinese Learner Corpus

Authors: Maolin Wang; Shervin Malmasi; Mingxuan Huang;

The Jinan Chinese Learner Corpus

Abstract

We present the Jinan Chinese Learner Corpus, a large collection of L2 Chinese texts produced by learners that can be used for educational tasks. The present work introduces the data and provides a detailed description. Currently, the corpus contains approximately 6 million Chinese characters written by students from over 50 different L1 backgrounds. This is a large-scale corpus of learner Chinese texts which is freely available to researchers either through a web interface or as a set of raw texts. The data can be used in NLP tasks including automatic essay grading, language transfer analysis and error detection and correction. It can also be used in applied and corpus linguistics to support Second Language Acquisition (SLA) research and the development of pedagogical resources. Practical applications of the data and future directions are discussed.

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Top 10%
Top 10%
hybrid