Zipfian frequency distributions facilitate word segmentation in context

► We test effects of a Zipfian frequency distribution on statistical word segmentation. ► Two large-scale experiments are conducted over the web. ► Identifying words is not more difficult within a Zipfian language. ► Zipfian input distributions facilitate accurate segmentation if test items are presented in context. ► We suggest chunking models better simulate the human performance than transition finding models.