Machine Translation
ABOUT
Machine translation (MT) is a sub-field of the computational linguisitic that deals with the automated translation of text or speech from one language to another. The need of machine translation is among others caused by the fact that human translation is highly expensive and not productive enough.
The economic necessicity increases the demand of effective, high quality translation programmes. However, the potential of machine translation is limited and especially in quality it cannot compete with human translation. Since machine tranlation is based on a dictionary and orientates on a limited set of situations, context depending meanings are often not respected. Consequently, the inaccurate usage of terms is more likely in machine translation than it is in human translation.
Machine translation operates with different approaches and strategies depending on the operating system, the source and the target language and the respective translation needs. We distinguish between the direct strategy, the transfer strategy and the pivot language strategy.
RESOURCES
Hutchins, W. J., & Somers, H. L. (1992). An introduction to machine translation (Vol. 362). London: Academic Press.
Arnold, D., Balkan, L., Humphreys, R. L., Meijer, S., & Sadler, L. (1994). Machine Translation: An Introductory Guide. Machine Translation (p. 224).
Craciunescu, O., Gerding-Salas, C., & Stringer-O’Keeffe, S. (2004). Machine Translation and Computer-Assisted Translation. Machine Translation, 8.
