Cross border transaction machine translation
First Claim
1. A computer implemented method comprising:
- receiving a query from a client machine for items, in which the query is in a first language;
translating the query into a second language, including optimizing, for ecommerce, a translation of the query from the first language into the second language based at least in part on an ontology;
obtaining a result set of items in the second language that meet the query;
translating the result set into the first language for presentation to the client machine; and
monitoring feedback from the client machine, including observing actions a user of the client machine takes relative to the result set, the actions including the user purchasing a product from the result set and placing a product watch from the result set; and
building the ontology based at least on part of the observed actions such that the ontology reflects language changes over time.
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Accused Products
Abstract
A user query for items is received in a first language and translated from the first language to a second language. A result set in the second language that meets the query is obtained and is translated into the first language for presentation to the user. User feedback is used to build an ontology for optimizing the translation from the first language to the second language based on query context and the feedback. Query context may include information determined by learning semantic relationships between keywords in the query. Optimizing may include building an ontology used by a machine translator to translate key words from the first language to the second language. The number of items in the result set are measured or information is abstracted from the feedback and correlated to ontological information of the result set. The system adapts to changes in meanings in the first language over time.
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Citations
15 Claims
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1. A computer implemented method comprising:
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receiving a query from a client machine for items, in which the query is in a first language; translating the query into a second language, including optimizing, for ecommerce, a translation of the query from the first language into the second language based at least in part on an ontology; obtaining a result set of items in the second language that meet the query; translating the result set into the first language for presentation to the client machine; and monitoring feedback from the client machine, including observing actions a user of the client machine takes relative to the result set, the actions including the user purchasing a product from the result set and placing a product watch from the result set; and building the ontology based at least on part of the observed actions such that the ontology reflects language changes over time. - View Dependent Claims (2, 3, 4, 5)
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6. One or more computer-readable hardware storage device having embedded therein a set of instructions which, in response to being executed by one or more processors of a computer, causes the computer to execute operations comprising:
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receiving a query from a client machine for items, the query in a first language; translating the query into a second language, including optimizing, for ecommerce, a translation of the query from the first language into the second language based at least in part on an ontology; obtaining a result set of items in the second language that meet the query; translating the result set into the first language for presentation to the client machine; and monitoring feedback from the client machine, including observing actions a user of the client machine takes relative to the result set, the actions including the user purchasing a product from the result set and placing a product watch from the result set; and building the ontology based at least on part of the observed actions such that the ontology reflects language changes over time. - View Dependent Claims (7, 8, 9, 10)
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11. A non-transitory computer-readable medium having encoded therein programing code executable by one or more hardware processors to perform operations comprising:
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receiving a query from a client machine for items, the query in a first language; translating the query into a second language, including optimizing, for ecommerce, a translation of the query from the first language into the second language based at least in part on an ontology; obtaining a result set of items in the second language that meet the query; translating the result set into the first language for presentation to the client machine; and monitoring feedback from the client machine, including observing actions a user of the client machine takes relative to the result set, the actions including the user purchasing a product from the result set and placing a product watch from the result set; and
to build the ontology based at least on part of the observed actions such that the ontology reflects language changes over time. - View Dependent Claims (12, 13, 14, 15)
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Specification