We describe a method for disambiguating Chi-nese commas that is central to Chinese sen-tence segmentation. Chinese sentence seg-mentation is viewed as the detection of loosely coordinated clauses separated by commas. Trained and tested on data derived from the Chinese Treebank, our model achieves a clas-sification accuracy of close to 90 % overall, which translates to an F1 score of 70 % for detecting commas that signal sentence bound-aries. 1