Presentation | 1995/11/16 A study of language modeling for speech recognition using co-occurent word model Mitsuru ENDO, Tatsuro ITO, Masakatsu HOSHIMI, Katsuyuki NIYADA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper we propose a new language model based on word pair co-occurrence, which is intended to realize high coverage, less over generation and easy task production. The co-occurrent word model approximate word N-gram probability with large N and it's constraint is verified to be stronger than 4-gram model's by experiments. furthermore, to achieve high coverage the Co-occurrent word model was modified to release word order and vocabulary constraints and to handle unknown words. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | speech recognition / language modeling / word n-gram model / co-occurrent word model |
Paper # | SP95-75 |
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Committee | SP |
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Conference Date | 1995/11/16(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) | A study of language modeling for speech recognition using co-occurent word model |
Sub Title (in English) | |
Keyword(1) | speech recognition |
Keyword(2) | language modeling |
Keyword(3) | word n-gram model |
Keyword(4) | co-occurrent word model |
1st Author's Name | Mitsuru ENDO |
1st Author's Affiliation | Matsushita Research Institute Tokyo, Inc.() |
2nd Author's Name | Tatsuro ITO |
2nd Author's Affiliation | Matsushita Research Institute Tokyo, Inc. |
3rd Author's Name | Masakatsu HOSHIMI |
3rd Author's Affiliation | Matsushita Research Institute Tokyo, Inc. |
4th Author's Name | Katsuyuki NIYADA |
4th Author's Affiliation | Matsushita Research Institute Tokyo, Inc. |
Date | 1995/11/16 |
Paper # | SP95-75 |
Volume (vol) | vol.95 |
Number (no) | 355 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |