Ulf Norlinger wrote:
Lesson 1) I think you should start the course in Machine translation (MT) with basic theory; Computational linguistics.
Lesson 2) A short overview of MT's history
Lesson 3) Show some examples when MT performs at its basic level (simple substitution of words), and the theory behind (the translation process, linguistic rules etc.).
Lesson 4) Proceed to more complex MT, and the theory behind
Lesson 5) Approaches: Rule-based, Statistical, Example-based
Lesson 6) Applications: SYSTRAN (powers Alta Vista's Babel Fish), the Google tool, Promt
Lesson 7) Evaluation of performance (through human judgement and through automated tools like BLEU, NIST, METEOR)
Lesson 8) CAT-tools, let the pupils do their own searches on the subject (other utilities for simplifying translations)
Lesson 9) Practices
Thanks for you ideas. Looks really good. Are you familiar with this topic?
Your ideas can be really handy.