Text translation using contextual information related to text objects in translated language

• US 10,453,108 B2
• Filed: 09/22/2017
• Issued: 10/22/2019
• Est. Priority Date: 11/13/2013
• Status: Active Grant

• Current Assignee: eBay Inc.
• Original Assignee: eBay Inc.
• Inventors: Chelly, Yan
• Primary Examiner(s): Opsasnick, Michael N
• Application Number:
  US15/712,800
• Publication Number:
  US 20180012278A1
• Time in Patent Office: 760 Days
• Field of Search: 704 2, 704270, 704277
• CPC Class Codes: G06F 16/334 Query execution G06F16/335 takes precedence
• CPC Class Codes: G06F 16/3344 using natural language analysis
• CPC Class Codes: G06F 40/205 Parsing
• 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 30/0601 Electronic shopping [e-shopping]
• CPC Class Codes: G06Q 30/0623 Item investigation

Abstract

In an example embodiment, input is received from a first user of a computer system. A text object relating to a first item from the input is created, and translated from a first language to a second language. A plurality of text objects, in the second language, having text similar to the translated text object, are located in a database, each text object comprising textual information pertaining to the first item. The plurality of text objects having text similar to the translated text are then ranked based on a comparison of the contextual information about the first item and the contextual information stored in the database for the plurality of text objects having text similar to the translated text object. At least one of the ranked text objects is translated to the first language.

Claims

1. A non-transitory machine-readable storage medium having embodied thereon instructions executable by one or more machines to perform operations comprising:

receiving input from a first user of a computer system, the input pertaining to a first item having a first text object previously stored in a database along with contextual information about the first item;

creating a second text object relating to a first item from the input;

translate the second text object from a first language to a second language;

locating, in the database, a plurality of text objects, in the second language, having text similar to the translated second text object;

ranking the plurality of text objects having text similar to the translated text based on a comparison of the contextual information about the first item and contextual information stored in the database for the plurality of text objects having text similar to the translated text object;

translating at least one of the ranked text objects to the first language; and

causing display of at least one of the ranked text objects to the first user.

2. The non-transitory machine-readable storage medium of claim 1, wherein the input from the first user is a question regarding a product.

3. The non-transitory machine-readable storage medium of claim 2, wherein the contextual information is a category for the product.

4. The non-transitory machine-readable storage medium of claim 2, wherein the contextual information includes past sales information.

5. The non-transitory machine-readable storage medium of claim 2, wherein the contextual information includes product description information.

6. The non-transitory machine-readable storage medium of claim 2, wherein the contextual information includes one or more images of the product.

7. The non-transitory machine-readable storage medium of claim 2, wherein the translating the text to a second language and the translating at least one of the ranked plurality of text objects to the first language both utilize a single translation module.

8. The non-transitory machine-readable storage medium of claim 1, wherein the translating the text to a second language includes passing the text to an application program interface (API) for a text translation service.

9. The non-transitory machine-readable storage medium of claim 1, wherein the translating the text to a second language and the translating at least one of the ranked plurality of text objects to the first language both utilize a single translation module.

10. The non-transitory machine-readable storage medium of claim 1, wherein the operations further comprise receiving feedback from the first user used to select one of the at least one ranked text objects to be used.

11. The non-transitory machine-readable storage medium of claim 10, wherein the feedback includes an explicit selection of one of the at least one ranked text objects by the first user.

12. The non-transitory machine-readable storage medium of claim 10, wherein the feedback includes scores assigned to a plurality of the ranked text objects.

13. The non-transitory machine-readable storage medium of claim 10, wherein the operations further comprise utilizing the feedback in future rankings of text objects.

14. The non-transitory machine-readable storage medium of claim 1, wherein the item is a product or service for sale in an online site.

15. The non-transitory machine-readable storage medium of claim 1, wherein the first and second languages are spoken languages.

16. The non-transitory machine-readable storage medium of claim 1, wherein the operations comprise receiving a selection of one of the ranked objects from the first user.

17. The non-transitory machine-readable storage medium of claim 16, wherein the operations further comprise sending the selection to a seller of the item.

18. The non-transitory machine-readable storage medium of claim 1, wherein the contextual information includes item location.

19. The non-transitory machine-readable storage medium of claim 1, wherein the contextual information includes past purchases and questions posed by the first user.

20. The non-transitory machine-readable storage medium of claim 1, wherein the contextual information includes profile information regarding the first user.