Systems and methods for generating and using shared natural language libraries

Abstract

Systems and methods for searching databases by sound data input are provided herein. A service provider may have a need to make their database(s) searchable through search technology. However, the service provider may not have the resources to implement such search technology. The search technology may allow for search queries using sound data input. The technology described herein provides a solution addressing the service provider's need, by giving a search technology that furnishes search results in a fast, accurate manner. In further embodiments, systems and methods to monetize those search results are also described herein.

What is claimed is: 
     
         1 . A method for expanding natural language libraries, the method comprising:
 comparing a plurality of natural language libraries to determine whether the natural language libraries satisfy at least one of the following conditions:
 the natural language libraries have a substantial amount of subject matter in common with one another, and 
 the natural language libraries correspond to similar services; 
   responsive to determining that the plurality of natural language libraries satisfies at least one of the conditions, merging content of each of the natural language libraries together into a merged natural language library; and   identifying and removing, from the merged natural language library, content with identical phrases.   
     
     
         2 . A method for converting speech to text, the method comprising:
 receiving a sound input, by a computer system, from a client device;   determining at least one natural language query from the sound input;   analyzing at least a portion of the natural language query, prior to fully converting the sound input into text, to determine a topic of the natural language query;   selecting a customized language model associated with the topic; and   fully converting the sound input of the natural language query into text using the customized language model.   
     
     
         3 . The method according to  claim 2 , wherein analyzing at least a portion of the natural language query to determine a topic of the natural language query comprises matching the at least a portion of the natural language query to a natural language library that is associated with the topic. 
     
     
         4 . The method according to  claim 2 , the method further comprising:
 updating content of the customized language model responsive to encountering a new type of search query.   
     
     
         5 . The method according to  claim 4 , wherein updating the content of the customized language model is performed by a natural language library update. 
     
     
         6 . A non-transitory computer-readable storage medium storing instructions for converting speech to text, the instructions when executed by a computer processor performing actions comprising:
 receiving a sound input, by a computer system, from a client device;   determining at least one natural language query from the sound input;   analyzing at least a portion of the natural language query, prior to fully converting the sound input into text, to determine a topic of the natural language query;   selecting a customized language model associated with the topic; and   fully converting the sound input of the natural language query into text using the customized language model.   
     
     
         7 . The non-transitory computer-readable storage medium according to  claim 6 , wherein analyzing at least a portion of the natural language query to determine a topic of the natural language query comprises matching the at least a portion of the natural language query to a natural language library that is associated with the topic. 
     
     
         8 . The non-transitory computer-readable storage medium according to  claim 6 , the actions further comprising:
 updating content of the customized language model responsive to encountering a new type of search query.   
     
     
         9 . The non-transitory computer-readable storage medium according to  claim 8 , wherein updating the content of the customized language model is performed by a natural language library update.