An Overview of Natural Language Processing for Indonesian and Malay
JIANG Shengyi1,2, LI Shanshan1,2, FU Sihui1, LIN Nankai1,2
1. School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou 510006 2. Guangzhou Key Laboratory of Multilingual Intelligent Processing, Guangdong University of Foreign Studies, Guangzhou 510006
Abstract：As the penetration rate of Indonesian and Malay rises, it is significant to carry out information processing on massive texts of these two languages. Extensive research is conducted on Indonesian and Malay. However, as low-resource languages, Indonesian and Malay draw less attention than common languages. Thus, the deep learning methods cannot be fully utilized. In this paper, research on Indonesian and Malay morphological analysis, syntactic parsing, machine translation, spelling check etc., is analyzed and summarized. In the most research findings, algorithms cannot be compared objectively due to their different corpus scales and evaluation metrics. Finally, problems and future directions of natural language processing on Indonesian and Malay are discussed with the consideration of the existing open language resources in various fields.
蒋盛益, 李珊珊, 符斯慧, 林楠铠. 印尼语、马来语自然语言处理研究综述[J]. 模式识别与人工智能, 2020, 33(6): 530-541.
JIANG Shengyi, LI Shanshan, FU Sihui, LIN Nankai. An Overview of Natural Language Processing for Indonesian and Malay. , 2020, 33(6): 530-541.
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2020, Vol. 33 
