This book presents a study on corpus-driven distribution as the main method of prediction, concentrating on individual semantic features to predict the senses of non-defined words by using corpora and tools, such as the Chinese Gigaword Corpus, HowNet, Chinese Wordnet, and XianDai HanYu CiDian (Xian Han). With the help of these corpora, the study determines the collocation clusters of four target words: chi1 âeat,â wan2 âplay,â huan4 âchangeâ and shao1 âburnâ through character and concept similarities. The results of this sense prediction study demonstrate that it was able to use off-line tasks to test some participantsâ intuition, which supports the theory that different clusters can represent different senses when pursuing a corpus-based, computational approach.