Developing corpus management system for Bahasa Indonesia the “Perisalah” project

This paper present a report on the research and development of Indonesian corpus management system as part of the speech summarization system (Perisalah). The continuous improvement of the speech recognition for Indonesian language, require a better and larger monolingual corpus. We will discuss our method on building speech recognition. The system is equipped with a capability to handle variation of speech input, a more natural mode of communication between the system and the users. We discuss data contained in our text corpus and the corpus management system, mainly on how to handle sentence segmentation and unknown words (typos).