An adaptable sentence segmentation based on Indonesian rules

<p>Sentence segmentation that breaks textual data strings into individual sentences is an important phase in natural language processing (NLP). Each word the string added a punctuation mark such as period, question mark, or exclamation point, becomes location for splitting string. Humans can easily see and split sentences, but not machines. Basically, three marks also perform other functions so sentence process must really be able to detect whether marked with boundary not. This research proposes system called segmentasi kalimat bahasa Indonesia (SKBI) Indonesian Sentence Segmentation by applying set of rules used texts adapted English. There are 34 built combination 27 fairly complete features contribute this research. The experimental results text show SKBI achieve F1-Score 96.89% 97.07% Both need improved now better than previous research.</p>