|
Class Summary |
| AbsoluteSmoother |
Calculate N-gram probabilities with absolute smoothing |
| GTSmoother |
Calculate N-gram probabilities with Katz smoothing
TODO: This is not statistically sound when trimming |
| KNSmoother |
Calculate N-gram probabilities with Kneser-Ney smoothing |
| MKNSmoother |
Calculate N-gram probabilities with Kneser-Ney smoothing |
| MLSmoother |
Calculate N-gram maximum-likelihood probabilities (no smoothing) |
| NgramSmoother |
An abstract class that defines an algorithm to smooth an n-gram model |
| WBSmoother |
Calculate N-gram probabilities with Witten-Bell smoothing |