Alternating Positioning of Primary Text
US-2024419887-A1 · Dec 19, 2024 · US
System and method for feature-rich continuous space language models
US9092425B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9092425-B2 |
| Application number | US-96316110-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 8, 2010 |
| Priority date | Dec 8, 2010 |
| Publication date | Jul 28, 2015 |
| Grant date | Jul 28, 2015 |
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Abstract
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Disclosed herein are systems, methods, and non-transitory computer-readable storage media for predicting probabilities of words for a language model. An exemplary system configured to practice the method receives a sequence of words and external data associated with the sequence of words and maps the sequence of words to an X-dimensional vector, corresponding to a vocabulary size. Then the system processes each X-dimensional vector, based on the external data, to generate respective Y-dimensional vectors, wherein each Y-dimensional vector represents a dense continuous space, and outputs at least one next word predicted to follow the sequence of words based on the respective Y-dimensional vectors. The X-dimensional vector, which is a binary sparse representation, can be higher dimensional than the Y-dimensional vector, which is a dense continuous space. The external data can include part-of-speech tags, topic information, word similarity, word relationships, a particular topic, and succeeding parts of speech in a given history.
First claim
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We claim: 1. A method comprising: receiving a sequence of words and external data associated with the sequence of words; mapping each word of the sequence of words to a respective X-dimensional vector based on interactions of the each word with previous words in the sequence of words, to yield a linear-based probability function comprising the respective X-dimensional vector of each word in the sequence of words, where a X-dimensional size vector corresponds to a size of a vocab…
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- What does patent US9092425B2 cover?
- Disclosed herein are systems, methods, and non-transitory computer-readable storage media for predicting probabilities of words for a language model. An exemplary system configured to practice the method receives a sequence of words and external data associated with the sequence of words and maps the sequence of words to an X-dimensional vector, corresponding to a vocabulary size. Then the syst…
- Who is the assignee on this patent?
- Mirowski Piotr Wojciech, Bangalore Srinivas, Balakrishnan Suhrid, and 2 more
- What technology area does this patent fall under?
- Primary CPC classification G06F40/40. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Jul 28 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).