Summarization is the art of generating the main points of a lengthy text document by removing redundant and less important information without losing the meaning of the original text. Summaries are significantly shorter than the original text and take a broad overview of the source material. With the increasing volume of digital information today, people find the manual process of summarization as hectic and time consuming. Having an automated text summarization system for electronic documents would very much help to encourage people to read, giving quick access to information thus helping them to a faster decision making process. Although many research and commercial text summarization tools are available but no research is officially reported for Malay language. Malay text summarizers are coming into demand when a lot of information in Malay language can now be accessed freely via the Internet. This paper presents a hybrid approach to an automated text summarization system for Malay language. The base system is built on SUMMARIST system and is expanded by combining with EstSum system. Experimental results show that expanding training data size significantly contributes to the performance. In general, our system produced acceptable results at the best case of 76 and the worst case of 31 .