Automatic machine translation using user feedback
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United States of America Patent
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Feb 14, 2017
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app pub date -
Feb 28, 2014
filing date -
Feb 28, 2014
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Abstract
In a publication system, such as an 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 activity 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 may detect the identity of the product in the query, accesses the product vendor website that is maintained in the first language, and detect information that is in the first language for use translation process.
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