We present a novel algorithm using new hypothesis representations for learning context-free grammars from a finite set of positive and negative examples. We propose an efficient hypothesis representation method which consists of a table-like data structure similar to the parse table used in efficien
β¦ LIBER β¦
Learning deterministic context free grammars: The Omphalos competition
β Scribed by Alexander Clark
- Publisher
- Springer
- Year
- 2006
- Tongue
- English
- Weight
- 458 KB
- Volume
- 66
- Category
- Article
- ISSN
- 0885-6125
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