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How useful are corpus tools for error correction? Insights from learner data
Journal of English for Academic Purposes, 2019This study contributes to the growing literature on data-driven learning in ESL/EFL instruction, examining how advanced English learners choose to use corpus tools for error correction on their own following classroom training.
Natalia I. Dolgova, Charles M. Mueller
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The Learner as Corpus Designer
2002Making corpora can be a useful experience for language learners, who may thereby become aware of the issues in corpus construction and become more critical users of published corpora of various kinds. Making corpora is, however, a very costly process.
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The development of a Chinese learner corpus
2012 International Conference on Speech Database and Assessments, 2012A learner corpus is a very important resource for research on second language acquisition. In this paper, the design and development of a Chinese learner corpus is described. The corpus is based on compositions by learners from 59 countries. The procedure of the development of the corpus is reported, including coping, proofing, etc. Information such as
Maolin Wang +3 more
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The LANGSNAP longitudinal learner corpus
2016This chapter describes a new longitudinal corpus of L2 Spanish, which includes spoken and written data from the same learners, and was gathered in a residence/ study abroad setting. The corpus was created as part of the Languages and Social Networks Abroad project (LANGSNAP) which traced the learning of both French and Spanish during an academic year's
Nicole Tracy-Ventura +2 more
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Russian Learner Translator Corpus
2014The project we present – Russian Learner Translator Corpus (RusLTC) is a multiple learner translator corpus which stores Russian students’ translations out of English and into it. The project is being developed by a cross-functional team of translator trainers and computational linguists in Russia.
Andrey Kutuzov, Maria Kunilovskaya
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Designing the LECOR Learner Corpus for Romanian
Proceedings of the Conference Recent Advances in Natural Language Processing - Large Language Models for Natural Language Processings, 2023Ana-Maria Barbu +3 more
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International Journal of Learner Corpus Research, 2015
Marcus Callies, Magali Paquot
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Marcus Callies, Magali Paquot
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International Journal of Learner Corpus Research
Jingxin Zhang, Yabo Yan, Yong Mei
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Jingxin Zhang, Yabo Yan, Yong Mei
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