Automatic machine translation using user feedback

Abstract

Publication system, such as ecommerce system, machine translation translates a query in a first language to a second language to query an ecommerce database maintained in the second language and obtain a result set responsive to the query. Human feedback relating to the result set is detected. If the feedback is positive the system increases the probability that the translation is correct. If the feedback is negative the system decreases the probability that the translation is correct. For positive feedback, the system detects whether a clue is recognized in the query. If a clue is recognized the system increases the value of the clue for making the translation. The system detects the identity of the product in the query, accesses the product vendor website that is maintained in the query language, and detects information that is in the query language for use in the translation process.

1 . A computer implemented method for machine translation comprising:
 receiving, from a client machine, a query in a first language, the query describing a product or a service;   translating the query into a second language;   querying, using the translated query, an ecommerce database maintained in the second language;   obtaining a result set responsive to the querying and transmitting the result set to the client machine;   detecting feedback from the client machine relating to the result set; and   determining whether the feedback is positive or negative.