Hierarchical models for language modeling
US-8977537-B2 · Mar 10, 2015 · US
Mixture of n-gram language models
US2015073788A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2015073788-A1 |
| Application number | US-201314019685-A |
| Country | US |
| Kind code | A1 |
| Filing date | Sep 6, 2013 |
| Priority date | Sep 6, 2013 |
| Publication date | Mar 12, 2015 |
| Grant date | — |
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Abstract
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Methods, systems, and apparatus, including computer programs encoded on computer storage media, for creating a static language model from a mixture of n-gram language models. One of the methods includes receiving a set of development sentences W, receiving a set of language models G M , determining a set of n-gram language model weights λ M based on the development sentences W and the set of language models G M , determining a set of sentence cluster weights γ C , each of the sentence cluster weights corresponding to a cluster in a set of sentence clusters, each cluster in the set of sentence clusters associated with at least one sentence from the set of development sentences W, and generating a language model from the set of language models G M , the set of n-gram language model weights λ M , the set of sentence clusters, and the set of sentence cluster weights γ C .
First claim
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What is claimed is: 1 . A method comprising: receiving a set of development sentences W; receiving a set of language models G M ; determining a set of n-gram language model weights λ M based on the development sentences W and the set of language models G M ; determining a set of sentence cluster weights γ C , each of the sentence cluster weights corresponding to a cluster in a set of sentence clusters, each cluster in the set of sentence clusters associated with at least…
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- G10L15/197Primary
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
- G10L15/26Primary
Physics · mapped topic
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- What does patent US2015073788A1 cover?
- Methods, systems, and apparatus, including computer programs encoded on computer storage media, for creating a static language model from a mixture of n-gram language models. One of the methods includes receiving a set of development sentences W, receiving a set of language models G M , determining a set of n-gram language model weights λ M based on the development sentences W and the set of l…
- Who is the assignee on this patent?
- Google Inc
- What technology area does this patent fall under?
- Primary CPC classification G10L15/197. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Thu Mar 12 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).