| P07-1049 | very close to that by context | distribution clustering | . In Proceedings of of the corpus3 |
| W00-0717 | words . An algorithm , context | distribution clustering | ( CDC ) , is presented which |
| W10-4100 | Qiang Zhou Bigram HMM with Context | Distribution Clustering | for Unsupervised Chinese Part-of-Speech |
| W10-4109 | <title> Bigram HMM with Context | Distribution Clustering | for Unsupervised Chinese Part-of-Speech |
| W00-0717 | Syntactic Categories by Context | Distribution Clustering | </title> Alexander Abstract This |
| H92-1034 | rather than the model level . The | distribution clustering | thus creates a senone codebook |
| H92-1034 | Figure ( a ) demonstrates that | distribution clustering | can keep dissimilar states apart |
| H92-1034 | Evaluation We incorporated the above | distribution clustering | technique in the SPHINX-II system |
| H92-1034 | squeezed . It also reveals that | distribution clustering | is able to learn the same effect |
| H92-1037 | discrete models are obtained , the | distribution clustering | procedure \ -LSB- 14 \ -RSB- |
| H92-1080 | models are obtained , the shared - | distribution clustering | procedure \ -LSB- 5 \ -RSB- is |
| W06-2916 | EM learning systems are Context | Distribution Clustering | ( CDC ) ( Clark , 2001 ) and |
