Learning stochastic categorial grammars
| Author(s) : | Ted Briscoe Miles Osborne, |
| Publisher : | N/A |
| Publication Date : | 1997 |
| ISSN : | N/A |
| Abstract : | Stochastic categorial grammars (SCGs) are introduced as a more appropriate formal-ism for statistical language learners to es-timate than stochastic context free gram-mars. As a vehicle for demonstrating SCG estimation, we show, in terms of crossing rates and in coverage, that when training material is limited, SCG estimation using the Minimum Description Length Princi-ple is preferable to SCG estimation using an indifferent prior. 1, |