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 "eat,"
wan2 "play," huan4 "change" and shao1 "burn" 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
participants' intuition, which supports the theory that different
clusters can represent different senses when pursuing a corpus-based,
computational approach.
