Preface
Acknowledgements
1. Introduction
2. The data and some applications
Part I. The Tools: 3. Basic stringology
4. Representing languages
5. Representing distributions over strings with automata and grammars
6. About combinatorics
Part II. What Does Learning a Language Mean?: 7. Identifying languages
8. Learning from text
9. Active learning
10. Learning distributions over strings
Part III. Learning Algorithms and Techniques: 11. Text learners
12. Informed learners
13. Learning with queries
14. Artificial intelligence techniques
15. Learning context-free grammars
16. Learning probabilistic finite automata
17. Estimating the probabilities
18. Learning transducers
19. A very small conclusion
References
Index.
