Automatic translation of advertisements

• US 10,318,643 B2
• Filed: 02/06/2017
• Issued: 06/11/2019
• Est. Priority Date: 06/20/2006
• Status: Active Grant

• Current Assignee: AT&T Intellectual Property II LP (AT&T, Inc.)
• Original Assignee: AT&T Intellectual Property II LP (AT&T, Inc.)
• Inventors: Bangalore, Srinivas
• Primary Examiner(s): Ortiz-Sanchez, Michael
• Application Number:
  US15/424,967
• Publication Number:
  US 20170147561A1
• Time in Patent Office: 855 Days
• CPC Class Codes: G06F 40/00 Handling natural language data speech analysis or synthesis, speech recognition G10L
• CPC Class Codes: G06F 40/263 Language identification
• CPC Class Codes: G06F 40/40 Processing or translation of natural language natural language analysis G06F40/20; semantic analysis G06F40/30
• 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: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0241 Advertisements
• CPC Class Codes: G06Q 30/0271 Personalized advertisement
• CPC Class Codes: G10L 13/08 Text analysis or generation of parameters for speech synthesis out of text, e.g. grapheme to phoneme translation, prosody generation or stress or intonation determination

Abstract

In an embodiment of a messaging system, a method for presenting a commercial message to a user is provided. A target language in which the user is comfortable communicating may be determined based on at least one communication received by the user or at least one communication provided by the user. The commercial message may be presented to the user in the target language.

Claims

1. A method comprising:

gathering, via a processor and at a defined frequency defined by a respective periodic N^th communication interaction of a plurality of communication interactions of a user with a second user, data from a subset of communication interactions gathered from the plurality of communication interactions of the user to yield statistical data, wherein the statistical data identify words in the subset of communication interactions, wherein N equals at least 2;

identifying, via the processor and based on the statistical data, a target language of the user, the target language being a language having a highest number of words used in the subset of communication interactions;

receiving a message in a source language which is distinct from the target language;

prior to transmitting the message, translating, via the processor, the message into the target language, to yield a translated message; and

transmitting the translated message in the target language to a device.

2. The method of claim 1, the method further comprising:

receiving a message in a source language which is distinct from the target language;

prior to transmitting the message, translating, via the processor, the message into the target language, to yield a translated message; and

transmitting the translated message in the target language to a device.

3. The method of claim 1, wherein the statistical data further identify languages associated with the words.

4. The method of claim 2, further comprising:

analyzing the words in the plurality of communication interactions to determine a subject matter of interest to the user; and

determining whether to translate the message based on the subject matter of interest.

5. The method of claim 2, wherein the transmitting the translated message to the device further comprises:

generating speech corresponding to the translated message; and

transmitting the speech to the device as part of the transmitting of the translated message.

6. The method of claim 1, wherein the defined frequency further comprises a number of communication interactions with the user over a specific period of time.

7. The method of claim 1, wherein the target language of the user is determined based on words communicated by the user.

8. The method of claim 1, wherein identifying the target language of the user further comprises:

determining a number of communications which exceed a percentage of communications associated with the user in a particular language.

9. The method of claim 8, wherein the percentage of communications is fifty percent, such that when the number of communications in the particular language are more than fifty percent of all communications, the target language is identified as the particular language.

10. A system comprising:

a processor; and

a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform operations comprising;

gathering, at a defined frequency defined by a respective periodic N^th communication interaction of a plurality of communication interactions of a user with a second user, data from a subset of communication interactions gathered from the plurality of communication interactions of the user to yield statistical data, wherein the statistical data identify words in the subset of communication interactions, wherein N equals at least 2;

identifying, based on the statistical data, a target language of the user, the target language being a language having a highest number of words used in the subset of communication interactions;

receiving a message in a source language which is distinct from the target language;

prior to transmitting the message, translating, via the processor, the message into the target language, to yield a translated message; and

transmitting the translated message in the target language to a device.

11. The system of claim 10, wherein the computer-readable storage medium stores additional instructions which, when executed by the processor, cause the processor to perform further operations comprising:

receiving a message in a source language which is distinct from the target language;

prior to transmitting the message, translating, via the processor, the message into the target language, to yield a translated message; and

transmitting the translated message in the target language to a device.

12. The system of claim 10, wherein the statistical data further identify languages associated with the words.

13. The system of claim 11, wherein the computer -readable storage medium stores additional instructions which, when executed by the processor, cause the processor to perform further operations comprising:

analyzing the words in the plurality of communication interactions to determine a subject matter of interest to the user; and

determining whether to translate the message based on the subject matter of interest.

14. The system of claim 13, wherein the transmitting of the translated message to the user further comprises:

generating speech corresponding to the translated message; and

transmitting the speech to the device as part of the transmitting of the translated message.

15. The system of claim 10, wherein the defined frequency further comprises a number of communication interactions with the user over a specific period of time.

16. The system of claim 10, wherein the target language of the user is determined based on words communicated by the user.

17. The system of claim 10, wherein identifying the target language of the user further comprises:

determining a number of communications which exceed a percentage of communications associated with the user in a particular language.

18. The system of claim 17, wherein the percentage of communications is fifty percent, such that when the number of communications in the particular language are more than fifty percent of all communications, the target language is identified as the particular language.

19. A non-transitory computer-readable storage device having instructions stored which, when executed by a processor, cause the processor to perform operations comprising:

gathering, at a defined frequency defined by a respective periodic N^th communication interaction of a plurality of communication interactions of a user with a second user, data from a subset of communication interactions gathered from the plurality of communication interactions of the user to yield statistical data, wherein the statistical data identify words in the subset of communication interactions, wherein N equals at least 2;

identifying, based on the statistical data, a target language of the user, the target language being a language having a highest number of words used in the subset of communication interactions;

receiving a message in a source language which is distinct from the target language;

prior to transmitting the message, translating, via the processor, the message into the target language, to yield a translated message; and

transmitting the translated message in the target language to a device.

20. The non-transitory computer-readable storage device of claim 19, wherein the non-transitory computer-readable storage device stores additional instructions which, when executed by the processor, cause the processor to perform further operations comprising:

analyzing the words in the plurality of communication interactions to determine a subject matter of interest to the user; and

determining whether to translate a message based on the subject matter of interest.