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Yorick Wilks
I-X
Front matter
11-86
Part I / MT Past
11-25
Five Generations of MT
27-63
An Artificial Intelligence Approach to Machine Translation
65-86
It Works but How Far Can It Go: Evaluating the SYSTRAN MT System
89-154
Part II / MT Present
89-96
Where Am I Coming From: The Reversibility of Analysis and Generation in Natural Language Processing
97-99
What are Interlinguas for MT: Natural Languages, Logics or Arbitrary Notations?
101-113
Stone Soup and the French Room: The Statistical Approach to MT at IBM
115-123
The Revival of US Government MT Research in 1990
125-137
The Role of Linguistic Knowledge Resources in MT
139-154
The Automatic Acquisition of Lexicons for an MT System
157-236
Part III / MT Future
157-168
Senses and Texts
169-175
Sense Projection
177-193
Lexical Tuning
195-213
What Would Pragmatics-Based Machine Translation be Like?
215-223
Where was MT at the End of the Century: What Works and What Doesn’t?
225-236
The Future of MT in the New Millennium
1-7
Part 4 / Introduction
Introduction
237-252
Back matter
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