Chinese Machine Translation

Pascale Fung

This chapter describes the basic approaches in Chinese machine translation, cast in the linguistic context of the Chinese language. We introduce some basic features of the Chinese language and point out that it is a language quite distinct from other major languages in the world in terms of morphology, word boundaries, syntax and lexical units. Chinese machine translation systems handle such differences first using explicit rules, later on depending on statistical models, and more recently relying on statistical methods driven by syntax and semantics. Applications such as term translations, crosslingual information retrieval and spoken language translation have fueled the development of state-of-the-art MT systems.

Bibtex Citation

    author = {Pascale Fung},
    title = {Chinese Machine Translation},
    booktitle = {Handbook of Natural Language Processing, Second Edition},
    editor = {Nitin Indurkhya and Fred J. Damerau},
    publisher = {CRC Press, Taylor and Francis Group},
    address = {Boca Raton, FL},
    year = {2010},
    note = {ISBN 978-1420085921}