Dynamic language model

Patent metadata

Field	Value
Publication number	US-9418143-B2
Application number	US-201615006392-A
Country	US
Kind code	B2
Filing date	Jan 26, 2016
Priority date	Jun 21, 2012
Publication date	Aug 16, 2016
Grant date	Aug 16, 2016

Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for speech recognition. One of the methods includes receiving a base language model for speech recognition including a first word sequence having a base probability value; receiving a voice search query associated with a query context; determining that a customized language model is to be used when the query context satisfies one or more criteria associated with the customized language model; obtaining the customized language model, the customized language model including the first word sequence having an adjusted probability value being the base probability value adjusted according to the query context; and converting the voice search query to a text search query based on one or more probabilities, each of the probabilities corresponding to a word sequence in a group of one or more word sequences, the group including the first word sequence having the adjusted probability value.

First claim

What is claimed is:

1. A non-transitory computer storage medium encoded with a computer program, the program comprising instructions that are operable, when executed by data processing apparatus, to cause the data processing apparatus to perform operations comprising:
receiving a voice search query from a user device;
determining a query context associated with the voice search query;
determining, based on the query context, to apply one or more language model rules;
dynamically adjusting one or more probabilities in a base language model according to the applied language model rules to generate a customized language model;
using the customized language model to generate a text search query from the voice search query; and
providing for display on the user device, one or more search results responsive to the text search query.

2. A method comprising:
receiving a voice search query from a user device;
determining a query context associated with the voice search query;
determining, based on the query context, to apply one or more language model rules;
dynamically adjusting one or more probabilities in a base language model according to the applied language model rules to generate a customized language model;
using the customized language model to generate a text search query from the voice search query; and
providing for display on the user device, one or more search results responsive to the text search query.

3. The method of claim 2 , wherein each language model rules includes one or more adjustment factors for adjusting a probability value of a word sequence in the base language model.

4. The method of claim 3 , wherein a magnitude of each adjustment factor depends on query frequency information.

5. The method of claim 3 , wherein the query context includes a location of the user device and wherein the language model rules include a geographic language model rule having an adjustment factor for a particular word sequence located in a particular geographic region.

6. The method of claim 5 , wherein applying the one or more language model rules includes determining that the location of the user device matches the particular word sequence of the geographic language model rule.

7. The method of claim 2 , wherein the query context includes a social group of the user and wherein the language model rules include social group language model rule having an adjustment factor based on information submitted by users in the social group of the user.

8. The method of claim 7 , wherein information includes one or more queries submitted by users in the social group of the user.

9. The method of claim 2 , wherein the query context includes event information and the language model rules include event language model rules having an adjustment factor for adjusting a probability value of the base language model.

10. The method of claim 9 , wherein the event information includes one or more of time of day and weather information.

11. A system comprising:
one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising:
receiving a voice search query from a user device;
determining a query context associated with the voice search query;
determining, based on the query context, to apply one or more language model rules;
dynamically adjusting one or more probabilities in a base language model according to the applied language model rules to generate a customized language model;
using the customized language model to generate a text search query from the voice search query; and
providing for display on the user device, one or more search results responsive to the text search query.

12. The system of claim 11 , wherein each language model rules includes one or more adjustment factors for adjusting a probability value of a word sequence in the base language model.

13. The system of claim 12 , wherein a magnitude of each adjustment factor depends on query frequency information.

14. The system of claim 12 , wherein the query context includes a location of the user device and wherein the language model rules include a geographic language model rule having an adjustment factor for a particular word sequence located in a particular geographic region.

15. The system of claim 14 , wherein applying the one or more language model rules includes determining that the location of the user device matches the particular word sequence of the geographic language model rule.

16. The system of claim 11 , wherein the query context includes a social group of the user and wherein the language model rules include social group language model rule having an adjustment factor based on information submitted by users in the social group of the user.

17. The system of claim 16 , wherein information includes one or more queries submitted by users in the social group of the user.

18. The system of claim 11 , wherein the query context includes event information and the language model rules include event language model rules having an adjustment factor for adjusting a probability value of the base language model.

19. The system of claim 18 , wherein the event information includes one or more of time of day and weather information.

Assignees

• Google Inc

Inventors

• Moreno Mengibar Pedro J
• Cohen Michael H

Classifications

• G10L15/005

  Language recognition · CPC title

• G10L15/265

  Physics · mapped topic

• G10L15/24

  Speech recognition using non-acoustical features · CPC title

• G10L2015/228

  of application context · CPC title

• G06F17/30687

  Physics · mapped topic