3 citations · 3 across the 5 of their papers we have counts for
5 papers
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…
Comprehensive Evaluation of Large Language Models on Software Engineering Tasks: A Multi-Task Benchmark
Go Frendi Gunawan, Mukhlis Amien
Large Language Models (LLMs) have demonstrated remarkable capabilities in software engineering, yet comprehensive benchmarks covering diverse SE activities remain limited. We prese…
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…