Reconstructing Native Language Typology from Foreign Language Usage
Author(s)
Berzak, Yevgeni; Reichart, Roi; Katz, Boris
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Linguists and psychologists have long been studying cross-linguistic transfer, the influence of native language properties on linguistic performance in a foreign language. In this work we provide empirical evidence for this process in the form of a strong correlation between language similarities derived from structural features in English as Second Language (ESL) texts and equivalent similarities obtained directly from the typological features of the native languages. We leverage this finding to recover native language typological similarity structure directly from ESL text, and perform prediction of typological features in an unsupervised fashion with respect to the target languages. Our method achieves 72.2% accuracy on the typology prediction task, a result that is highly competitive with equivalent methods that rely on typological resources.
Date issued
2014-04-25Publisher
Center for Brains, Minds and Machines (CBMM), arXiv
Citation
arXiv:1404.6312v1
Series/Report no.
CBMM Memo Series;007
Keywords
Language, Computer Language, Linguistics, Visual Intelligence
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