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Hasil Pencarian

Ditemukan 2 dokumen yang sesuai dengan query
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Budi Irmawati, author
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...
Depok: Faculty of Engineering, Universitas Indonesia, 2017
UI-IJTECH 8:3 (2017)
Artikel Jurnal  Universitas Indonesia Library
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Budi Irmawati, author
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...
Depok: Faculty of Engineering, Universitas Indonesia, 2017
UI-IJTECH 8:5 (2017)
Artikel Jurnal  Universitas Indonesia Library