Different Approaches to Machine Translation
This comprehensive overview for business users looks at the different types of MT technology, including rules-based, statistical and hybrid solutions using translation memories. and explains the quality issues and typical usage contexts.
In the fifty-year history of machine translation (MT), different schools of thought have emerged about what the best approach would be to building an MT system. While researchers fought over the best way to achieving Fully Automatic High Quality Translation (FAHQT), market requirements have gradually changed. End-users seem to be quite satisfied with useful translation. The difficulty is how to measure the quality of translation, be it machine or human. Various user cases prove that there is genuine value to be derived from using machine translation technology. This TAUS report gives a high-level overview of the evolution of machine translation. It presents the basic concepts and the key issues, providing a useful introduction to anyone who is relatively new to the topic of MT.
Full report exclusively available to TAUS members >> Different Approaches to Machine Translation
 |
