Machine Translation

1. Introduction
Yorick Wilks

2. Five Generations of MT
Yorick Wilks

3. An Artificial Intelligence Approach to Machine Translation
Yorick Wilks

4. It Works but How Far Can It Go: Evaluating the SYSTRAN MT System
Yorick Wilks

5. Where Am I Coming From: The Reversibility of Analysis and Generation in Natural Language Processing
Yorick Wilks

6. What are Interlinguas for MT: Natural Languages, Logics or Arbitrary Notations?
Yorick Wilks

7. Stone Soup and the French Room: The Statistical Approach to MT at IBM
Yorick Wilks

8. The Revival of US Government MT Research in 1990
Yorick Wilks

9. The Role of Linguistic Knowledge Resources in MT
Yorick Wilks

10. The Automatic Acquisition of Lexicons for an MT System
Yorick Wilks

11. Senses and Texts
Yorick Wilks

12. Sense Projection
Yorick Wilks

13. Lexical Tuning
Yorick Wilks

14. What Would Pragmatics-Based Machine Translation be Like?
Yorick Wilks

15. Where was MT at the End of the Century: What Works and What Doesn’t?
Yorick Wilks

16. The Future of MT in the New Millennium
Yorick Wilks

Keywords: COMPUTERS / Computer Science COM014000