italki NLI
Introduced by Hudson et al. in On the Development of a Large Scale Corpus for Native Language Identification
A large, crowd-sourced dataset for the Native Language Identification (NLI) task. People learning English as a second language write practice Notebooks which can be used to classify the author's native language using word choice, spelling mistakes and other language features.
The dataset has:
- 11 languages (Arabic, Chinese, French, German, Hindi, Italian, Japanese, Korean, Spanish, Telagu, Turkish)
- 111,917 documents
Benchmarks
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italki NLI
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Tubasfs
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Papers
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