An automatic word spacing is one of the important tasks in Korean language processing and information retrieval. Since there are a number of confusing cases in word spacing of Korean, there are some mistakes in many texts including news articles. This paper presents a high-accurate method for automatic word spacing based on self-organizing Ò-gram model. This method is basically a variant of Ò-gram model, but achieves high accuracy by automatically adapting context size.