Automatic extraction of multilingual dictionary items from non-parallel, multilingual, semi-structured data

Patent metadata

Field	Value
Publication number	US-9805031-B2
Application number	US-201615377602-A
Country	US
Kind code	B2
Filing date	Dec 13, 2016
Priority date	Feb 28, 2014
Publication date	Oct 31, 2017
Grant date	Oct 31, 2017

Abstract

User interfaces receive a first plurality of user queries and result sets that are in a category, exhibit a constraint, and exhibit user behavior. Also received are a second plurality of user queries and result sets that that are in the category, exhibit the constraint, and exhibit user behavior. The second user queries and results are received either from a plurality of user interfaces coupled to a second system, or from the second system itself. Responsive to detecting that the first plurality of user queries and result sets and the second plurality of user queries and result sets satisfy respective thresholds, a signal indicates that at least one of the first plurality of user queries and at least one of the second plurality of user queries are translations of each other.

First claim

The invention claimed is:

1. A method of machine translation comprising:
receiving at a second publication system, from a first publication system, in a first language, a first plurality of user queries for a product, and a first plurality of result sets in the first language that are responsive to the first plurality of user queries, respective ones of the first plurality of result sets evoking a respective set of implicit user behaviors:
receiving, at the first publication system, in a second language, from the second publication system, a second plurality of user queries for a product, and a second plurality of result sets in the second language that are responsive to the second plurality of user queries, respective ones of the second plurality of result sets evoking a respective set of implicit user behaviors;
detecting a number of the first plurality of result sets that evokes implicit positive user behaviors;
detecting a number of the second plurality of result sets that evokes implicit positive user behaviors;
detecting that the number of the first plurality of result sets that evokes implicit positive user behaviors satisfies a first threshold and the number of the second plurality of result sets that evokes implicit positive user behaviors satisfies a second threshold; and
responsive to detecting that the number of first plurality of result sets that evokes implicit positive user behaviors satisfies the first threshold and the number of second plurality of result sets that evokes implicit positive user behaviors satisfies the second threshold, providing an indication that a query of the first plurality of user queries and a query of the second plurality of user queries are likely to be translations of each other.

2. The method of claim 1 wherein the indication is provided to a machine translation application for the second publication system and to a machine translation application for the first publication system.

3. The method machine language translation of claim 1 wherein the first plurality of user queries in the first language are in a category and evoke a first constraint, and the second plurality of user queries in the second language are in the category and evoke a second constraint that is similar to the first constraint.

4. The method of machine translation of claim 3 wherein the constraint comprises one of an aspect, a bar code or a seller.

5. The method of machine translation of claim 3 wherein the constraint comprises similar product features.

6. The method of machine translation of claim 3 wherein the categories are the same category.

7. The method of machine translation of claim 3 wherein the constraint comprises a product image.

8. One or more computer-readable hardware storage device having stored therein a set of instructions which, when executed by one or more processors of a computer, causes the computer to execute operations comprising:
receiving at a second publication system, in a first language, from a first publication system, a first plurality of user queries for a product, and a first plurality of result sets in the first language that are responsive to the first plurality of user queries, respective ones of the first plurality of result sets evoking a respective set of implicit user behaviors;
receiving, at the first publication system, in a second language, from the second publication system, a second plurality of user queries for a product, and a second plurality of result sets in the second language that are responsive to the second plurality of user queries, respective ones of the second plurality of result sets evoking a respective set of implicit user behaviors;
detecting a number of the first plurality of result sets that evokes implicit positive user behaviors;
detecting a number of the second plurality of result sets that evokes implicit positive user behaviors;
detecting that the number of the first plurality of result sets that evokes implicit positive user behaviors in response to the first plurality of result sets satisfies a first threshold and the number of the second plurality of result sets that evokes implicit positive user behaviors in response to the second plurality of result sets satisfies a second threshold; and
responsive to detecting that the number of the first plurality of result sets that evokes implicit positive user behaviors satisfies the first threshold and the number of the second plurality of result sets that evokes implicit positive user behaviors satisfies the second threshold, providing an indication that a query of the first plurality of user queries and a query of the second plurality of user queries are likely to be translations of each other.

9. The method of claim 8 wherein the indication is provided to a machine translation application for the second publication system and to a machine translation application for the first publication system.

10. The one or more computer-readable hardware storage device of claim 8 wherein the first plurality of user queries in the first language are in a category and evoke a first constraint, and the second plurality of user queries in the second language are in the category and evoke a second constraint that is similar to the first constraint.

11. The method of machine translation of claim 10 wherein the constraint comprises one of an aspect, a bar code or a seller.

12. The one or more computer-readable hardware storage device of claim 10 wherein the constraint comprises similar product features.

13. The one or more computer-readable hardware storage device of claim 10 wherein the categories are the same category.

14. The one or more computer-readable hardware storage device of claim 10 wherein the constraint comprises a product image.

15. A system comprising one or more hardware processors configured to:
receive at a second publication system, from a first publication system, in a first language, a first plurality of user queries for a product, and a first plurality of result sets in the first language, that are responsive to the first plurality of user queries, wherein respective ones of the first plurality of result sets evoke a respective set of implicit user behaviors;
receive, at the first publication system, from the second publication system, in a second language, a second plurality of user queries for a product in a second language, and a second plurality of result sets in the second language, that are responsive to the second plurality of user queries, wherein respective ones of the second plurality of result sets evoke a respective set of implicit user behaviors;
detect, by a user behavior module of a machine translation application at the second publication system, a number of the first plurality of result sets that evokes implicit positive user behaviors;
detect, by a user behavior module of a machine translation application at the first publication system, a number of the second plurality of result sets that evokes implicit positive user behaviors;
detect, by a decision application, that the number of the first plurality of result sets that evokes implicit positive user behaviors satisfies a first threshold and the number of the second plurality of result sets that evokes implicit positive user behaviors satisfies a second threshold; and
responsive to detection that the number of the first plurality of result sets that evokes implicit positive user behaviors satisfies the first threshold and the number of the second plurality of result sets that evokes implicit positive user behaviors satisfies the second threshold, provide an indication that a query of the first plurality

Assignees

• Ebay Inc

Inventors

• Sawaf Hassan

Classifications

• G06F40/44

  Statistical methods, e.g. probability models · CPC title

• G06N20/00 Primary

  Machine learning · CPC title

• G06Q30/0609

  Qualifying participants for shopping transactions (payment transaction verification G06Q20/401) · CPC title

• G06Q30/0601

  Electronic shopping [e-shopping] · CPC title

• G06F40/49

  using very large corpora, e.g. the web · CPC title