3 citations · 3 across the 5 of their papers we have counts for
4 papers · 1 filter
Phonological Fossils: Machine Learning Detection of Non-Mainstream Vocabulary in Sulawesi Basic Lexicon
Mukhlis Amien, Go Frendi Gunawan
Basic vocabulary in many Sulawesi Austronesian languages includes forms resisting reconstruction to any proto-form with phonological patterns inconsistent with inherited roots, but…
Reduce Indonesian Vocabularies with an Indonesian Sub-word Separator
Mukhlis Amien, Feng Chong, Huang Heyan
Indonesian is an agglutinative language since it has a compounding process of word-formation. Therefore, the translation model of this language requires a mechanism that is even lo…
Location-based Twitter Filtering for the Creation of Low-Resource Language Datasets in Indonesian Local Languages
Mukhlis Amien, Chong Feng, Heyan Huang
Twitter contains an abundance of linguistic data from the real world. We examine Twitter for user-generated content in low-resource languages such as local Indonesian. For NLP to w…
Synthetic Source Language Augmentation for Colloquial Neural Machine Translation
Asrul Sani Ariesandy, Mukhlis Amien, Alham Fikri Aji +1
Neural machine translation (NMT) is typically domain-dependent and style-dependent, and it requires lots of training data. State-of-the-art NMT models often fall short in handling…