| Presentation | 1999/8/6 Language Model Based on Clustering Word Histories Keikichi Miyai, Youichi Yamasita, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper describes an idea of a new language model based on sharing word probabilities and HMM which reduces the parameter size of the model and improves the model performance. The word probability sharing model can estimate a word output probability for unknown word sequences by interpolation. We obtained a language model by clustering word histories and using average word probabilities weighted by frequency of the history. The evaluation test verified reduction of the parameter size and smoothing effect by the proposed model comparing the conventional trigram. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | language model / clustering / word history / smoothing / HMM |
| Paper # | SP99-66 |
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| Conference Information | |
| Committee | SP |
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| Conference Date | 1999/8/6(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
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| Paper Information | |
| Registration To | Speech (SP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Language Model Based on Clustering Word Histories |
| Sub Title (in English) | |
| Keyword(1) | language model |
| Keyword(2) | clustering |
| Keyword(3) | word history |
| Keyword(4) | smoothing |
| Keyword(5) | HMM |
| 1st Author's Name | Keikichi Miyai |
| 1st Author's Affiliation | University of Ritsumeikan() |
| 2nd Author's Name | Youichi Yamasita |
| 2nd Author's Affiliation | University of Ritsumeikan |
| Date | 1999/8/6 |
| Paper # | SP99-66 |
| Volume (vol) | vol.99 |
| Number (no) | 256 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |