Reconstructing native language typology from foreign language usage

Yevgeni Berzak, Roi Reichart, Boris Katz

نتاج البحث: فصل من :كتاب / تقرير / مؤتمرمنشور من مؤتمرمراجعة النظراء

ملخص

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 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.

اللغة الأصليةالإنجليزيّة
عنوان منشور المضيفCoNLL 2014 - 18th Conference on Computational Natural Language Learning, Proceedings
الصفحات21-29
عدد الصفحات9
رقم المعيار الدولي للكتب (الإلكتروني)9781941643020
المعرِّفات الرقمية للأشياء
حالة النشرنُشِر - 2014
الحدث18th Conference on Computational Natural Language Learning, CoNLL 2014 - Baltimore, الولايات المتّحدة
المدة: ٢٦ يونيو ٢٠١٤٢٧ يونيو ٢٠١٤

سلسلة المنشورات

الاسمCoNLL 2014 - 18th Conference on Computational Natural Language Learning, Proceedings

!!Conference

!!Conference18th Conference on Computational Natural Language Learning, CoNLL 2014
الدولة/الإقليمالولايات المتّحدة
المدينةBaltimore
المدة٢٦/٠٦/١٤٢٧/٠٦/١٤

All Science Journal Classification (ASJC) codes

  • !!Human-Computer Interaction
  • !!Artificial Intelligence
  • !!Linguistics and Language

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