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Budi Irmawati
Generating artificial error data for indonesian preposition error corrections
" Large-scale annotated data written by second language learners are not always available for low-resource languages such as Indonesian. To cope with data scarcity, it is important to generate ‘learner-like’ artificial error sentences when the available real learner data is insufficient and language experts cannot construct data. In this paper, we propose a new method for generating effective error-injected artificial data to proliferate training examples for preposition error correction tasks. Our method first generates a large ... "
Depok: Faculty of Engineering, Universitas Indonesia, 2017
UI-IJTECH 8:3 (2017)
Artikel Jurnal  Universitas Indonesia Library