Ditemukan 2 dokumen yang sesuai dengan query
Budi Irmawati
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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 ...
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Depok: Faculty of Engineering, Universitas Indonesia, 2017
UI-IJTECH 8:3 (2017)
Artikel Jurnal Universitas Indonesia Library
Budi Irmawati
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In languages with fixed word orders, syntactic information is useful when solving natural language processing (NLP) problems. In languages like Indonesian, however, which has a relatively free word order, the usefulness of syntactic information has yet to be determined. In this study, a dependency annotation scheme for extracting syntactic features from a sentence is proposed. This annotation scheme adapts the Stanford typed dependency (SD) annotation scheme to cope with such phenomena in the Indonesian language ...
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Depok: Faculty of Engineering, Universitas Indonesia, 2017
UI-IJTECH 8:5 (2017)
Artikel Jurnal Universitas Indonesia Library
