Indonesian Language

Indonesian, a low-resource language with significant linguistic diversity, is a growing focus of natural language processing (NLP) research, aiming to develop robust and accurate language models for various tasks. Current research emphasizes the development and application of transformer-based models like BERT and T5, along with graph convolutional networks, to address challenges such as hate speech detection, code-mixing, and low-resource language modeling in Indonesian and its numerous regional dialects. These advancements have significant implications for improving access to information, facilitating cross-cultural communication, and advancing NLP techniques applicable to other under-resourced languages globally.