Co-Occurrence-Based Error Correction Approach to Word Segmentation

To overcome the problems in Thai word segmentation, a number of word segmentation has been proposed during the long period of time until today. We propose a novel Thai word segmentation approach so called Co-occurrence-Based Error Correction (CBEC). CBEC generates all possible segmentation candidates using the classical maximal matching algorithm and then selects the most accurate segmentation based on cooccurrence and an error correction algorithm. CBEC was trained and evaluated on BEST 2009 corpus.