Native-language identification: Difference between revisions

Revision as of 23:43, 17 March 2021

Revision as of 01:43, 18 March 2021

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NLI works under the assumption that an author's L1 will dispose them towards particular language production patterns in their L2, as influenced by their native language. This relates to cross-linguistic influence (CLI), a key topic in the field of second-language acquisition (SLA) that analyzes transfer effects from the L1 on later learned languages.

Using large-scale English data, NLI methods achieve over 80% accuracy in predicting the native language of texts written by authors from 11 different L1 backgrounds{{Citation needed|date=March 2021}}. This can be compared to a baseline of 9% for choosing randomly.

==Applications==