System and method for natural language processing in a peer-to-peer hybrid communications network

• US 20060206310A1
• Filed: 05/15/2006
• Published: 09/14/2006
• Est. Priority Date: 06/29/2004
• Status: Abandoned Application

• Current Assignee: Damaka, Inc.
• Original Assignee: Damaka, Inc.
• Inventors: Gundabathula, Satish, Ravikumar, Sivakumar, Chopra, Chandan
• Application Number:
  US11/434,091
• Publication Number:
  US 20060206310A1
• Time in Patent Office: Days
• US Class Current: 704/9
• CPC Class Codes: G06F 40/263 Language identification
• CPC Class Codes: G06F 40/58 Use of machine translation, e.g. for multi-lingual retrieval, for server-side translation for client devices or for real-time translation
• CPC Class Codes: H04L 45/24 Multipath
• CPC Class Codes: H04L 63/0227 Filtering policies mail message filtering H04L51/212
• CPC Class Codes: H04L 67/303 Terminal profiles
• CPC Class Codes: H04L 67/565 Conversion or adaptation of application format or content adding application control or application functional data H04L67/561
• CPC Class Codes: H04L 69/24 Negotiation of communication capabilities

Abstract

An improved system and method are disclosed for peer-to-peer communications. In one example, the method provides for natural language processing of communications between two endpoints in a peer-to-peer hybrid communications network.

Claims

1. A method for natural language processing in a peer-to-peer hybrid network comprising:

identifying a first language used by a first endpoint and a second language used by a second endpoint;

determining whether the first and second languages are compatible;

comparing a first language profile of the first endpoint and a second language profile of the second endpoint if the first and second languages are not compatible to identify whether a common language exists in the first and second language profiles; and

selecting the common language for communications between the first and second endpoints if the common language exists.

2. The method of claim 1 further comprising:

determining whether a translation module is available if the common language does not exist; and

translating communications sent between the first and second endpoints from the first language to the second language and from the second language to the first language using the translation module if the translation module is available.

3. The method of claim 2 further comprising selecting the translation module from a plurality of available translation modules.

4. The method of claim 3 wherein the translation module is selected based on a priority of the translation module compared to the other translation modules of the plurality of available translation modules.

5. The method of claim 4 wherein the priority of the translation module is defined in one of the first and second language profiles.

6. The method of claim 2 wherein, if no translation module is available to the first endpoint, the first endpoint notifies the second endpoint that the first endpoint cannot perform a translation.

7. The method of claim 1 wherein a plurality of common languages are identified, and wherein a single common language is selected from the plurality of common languages based on a priority assigned to each of the plurality of common languages in at least one of the first and second language profiles.

8. The method of claim 1 wherein at least one of the first and second language profiles includes a translation module, and wherein identifying whether a common language exists in the first and second language profiles includes determining whether the translation module provides the common language.

9. The method of claim 1 further comprising:

communicating with a server if the common language does not exist; and

translating communications sent between the first and second endpoints from the first language to the second language and from the second language to the first language using translation functionality provided by the server.

10. The method of claim 1 further comprising:

communicating with a human translation service if the common language does not exist; and

translating communications sent between the first and second endpoints from the first language to the second language and from the second language to the first language using translation functionality provided by the human translation service.

11. The method of claim 1 wherein selecting the common language for communications between the first and second endpoints includes configuring the first and second endpoints to communicate using the common language.

12. The method of claim 1 further comprising configuring the first endpoint to default to the common language when communicating with the second endpoint in future communication sessions.

13. A peer-to-peer hybrid system comprising:

an access server;

an endpoint coupled to the access server; and

a language profile associated with the endpoint, wherein the language profile is used to select at least one of a written language and a spoken language for use in communicating with another endpoint, the language profile including;

a listing of written languages, wherein the listing includes a user assigned priority level for each written language identifying which of the written languages is preferred by a user of the first endpoint; and

a listing of spoken languages, wherein the listing includes a user assigned priority level for each spoken language identifying which of the spoken languages is preferred by the user of the first endpoint.

14. The system of claim 13 wherein the language profile further includes information corresponding to a translation module, wherein the information identifies first and second languages translatable by the translation module.

15. The system of claim 14 wherein the first and second languages are included in the listing of written languages and the listing of spoken languages.

16. The system of claim 13 wherein the language profile is stored on the endpoint.

17. The system of claim 13 wherein the language profile is stored on the access server.

18. A method for use in a peer-to-peer hybrid network comprising:

comparing a plurality of language preferences in a first language profile associated with a first endpoint with a plurality of language preferences in a second language profile associated with a second endpoint to determine whether a common language exists in the first and second language profiles;

selecting the common language for communication between the two endpoints if the common language exists; and

configuring the first and second endpoints for communication using the common language.

19. The method of claim 18 wherein comparing the plurality of language preferences in the first language profile with the plurality of language preferences in the second language profile includes identifying whether a translation module is accessible for use in establishing a common language.

20. The method of claim 18 wherein configuring the first and second endpoints includes activating a translation module on one of the first and second endpoints.

21. The method of claim 18 further comprising:

translating a first language to the common language by the first endpoint; and

translating a second language to the common language by the second endpoint.

22. A peer-to-peer hybrid system comprising:

an access server;

first, second, and third endpoints coupled to the access server; and

a language profile associated with at least the first endpoint, wherein the language profile is used to select at least one of a written language and a spoken language for use in communicating with the second and third endpoints, the language profile including;

a listing of written languages, wherein the listing includes a user assigned priority level for each written language identifying which of the written languages is preferred by a user of the first endpoint; and

a listing of spoken languages, wherein the listing includes a user assigned priority level for each spoken language identifying which of the spoken languages is preferred by the user of the first endpoint.

23. The system of claim 22 wherein the language profile designates at least one of a first written and a first spoken language for the second endpoint, and at least one of a second written and a second spoken language for the third endpoint, wherein the first and second written languages are different and wherein the first and second spoken languages are different.