Presentation | 2000/1/21 Linkgram Language Modeling Shuwu Zhang, Hirofumi Yamamoto, Yoshinori Sagisaka, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper describes a linkgram language modeling approach to exploit longer distance linguistic correlations between units. Based on the annotated language corpus, we can extract some syntactic link dependencies between longer history units. In order to integrate these linguistic constraints effectively, we further simplify the link features as syntactic trigger pairs by pruning some unnecessary attributes. Then, the exponential parameters of the link features can be estimated binding with a previous proposed DUAME model by maximum entropy approach. Experimental results showed that linkgram modeling is very useful in complementing underlying language modeling. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Linkgram / Link Features / Maximum Entropy / Language Modeling |
Paper # | SP99-144 |
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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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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) | Linkgram Language Modeling |
Sub Title (in English) | |
Keyword(1) | Linkgram |
Keyword(2) | Link Features |
Keyword(3) | Maximum Entropy |
Keyword(4) | Language Modeling |
1st Author's Name | Shuwu Zhang |
1st Author's Affiliation | ATR Interpeting Telecommunication Research Labs.() |
2nd Author's Name | Hirofumi Yamamoto |
2nd Author's Affiliation | ATR Interpeting Telecommunication Research Labs. |
3rd Author's Name | Yoshinori Sagisaka |
3rd Author's Affiliation | ATR Interpeting Telecommunication Research Labs. |
Date | 2000/1/21 |
Paper # | SP99-144 |
Volume (vol) | vol.99 |
Number (no) | 577 |
Page | pp.pp.- |
#Pages | 6 |
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