Presentation | 2000/1/21 Clustering Word Histories for Language Model Keikichi Miyai, Youichi Yamashita, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper describes a new language model based on sharing word probabilities for similar word history. A clustering technique divides word histories into some history classes using similarity of the word history in terms of output probability distribution of next words. This model can estimate a word output probability for unknown word context. Three types of history clustering are tried in order to interpolate word output probabilities. Evaluation tests verified that the proposed model reduced the model parameters with keeping the speech recognition accuracy. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | language model / clustering / word history / smoothing |
Paper # | SP99-143 |
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Conference Information | |
Committee | SP |
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Conference Date | 2000/1/21(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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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) | Clustering Word Histories for Language Model |
Sub Title (in English) | |
Keyword(1) | language model |
Keyword(2) | clustering |
Keyword(3) | word history |
Keyword(4) | smoothing |
1st Author's Name | Keikichi Miyai |
1st Author's Affiliation | Ritsumeikan University() |
2nd Author's Name | Youichi Yamashita |
2nd Author's Affiliation | Ritsumeikan University |
Date | 2000/1/21 |
Paper # | SP99-143 |
Volume (vol) | vol.99 |
Number (no) | 577 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |