Abstract: In an example embodiment, text is received at an ecommerce service from a first user, the text in a first language and pertaining to a first listing on the ecommerce service. Contextual information about the first listing may be retrieved. The text may be translated to a second language. Then, a plurality of text objects, in the second language, similar to the translated text may be located in a database, each of the text objects corresponding to a listing. Then, the plurality of text objects similar to the translated text may be ranked based on a comparison of the contextual information about the first listing and contextual information stored in the database for the listings corresponding to the plurality of text objects similar to the translated text. At least one of the ranked plurality of text objects may then be translated to the first language.

Abstract: In an example embodiment, text is received at an ecommerce service from a first user, the text in a first language and pertaining to a first listing on the ecommerce service. Contextual information about the first listing may be retrieved. The text may be translated to a second language. Then, a plurality of text objects, in the second language, similar to the translated text may be located in a database, each of the text objects corresponding to a listing. Then, the plurality of text objects similar to the translated text may be ranked based on a comparison of the contextual information about the first listing and contextual information stored in the database for the listings corresponding to the plurality of text objects similar to the translated text. At least one of the ranked plurality of text objects may then be translated to the first language.

Abstract: In an example embodiment, text is received at an ecommerce service from a first user, the text in a first language and pertaining to a first listing on the ecommerce service. Contextual information about the first listing may be retrieved. The text may be translated to a second language. Then, a plurality of text objects, in the second language, similar to the translated text may be located in a database, each of the text objects corresponding to a listing. Then, the plurality of text objects similar to the translated text may be ranked based on a comparison of the contextual information about the first listing and contextual information stored in the database for the listings corresponding to the plurality of text objects similar to the translated text. At least one of the ranked plurality of text objects may then be translated to the first language.

Abstract: In an example embodiment, text is received at an ecommerce service from a first user, the text in a first language and pertaining to a first listing on the ecommerce service. Contextual information about the first listing may be retrieved. The text may be translated to a second language. Then, a plurality of text objects, in the second language, similar to the translated text may be located in a database, each of the text objects corresponding to a listing. Then, the plurality of text objects similar to the translated text may be ranked based on a comparison of the contextual information about the first listing and contextual information stored in the database for the listings corresponding to the plurality of text objects similar to the translated text. At least one of the ranked plurality of text objects may then be translated to the first language.

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.

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.

Abstract: In an example embodiment, a memory stores a database of text objects having textual information pertaining to at least one of a plurality of documents, and contextual information about the documents. A translation module then is configured to translate text from a first user from a first language to a second language, the text pertaining to a first of the plurality of documents. A context ranking module is configured to locate, in the database, a plurality of text objects, in the second language, having text similar to the translated text, and to rank the plurality of text objects having text similar to the translated text based on a comparison of contextual information about the first document and the contextual information stored in the database for documents corresponding to the plurality of text objects having text similar to the translated text.

Abstract: In an example embodiment, a memory stores a database of text objects having textual information pertaining to at least one of a plurality of documents, and contextual information about the documents. A translation module then is configured to translate text from a first user from a first language to a second language, the text pertaining to a first of the plurality of documents. A context ranking module is configured to locate, in the database, a plurality of text objects, in the second language, having text similar to the translated text, and to rank the plurality of text objects having text similar to the translated text based on a comparison of contextual information about the first document and the contextual information stored in the database for documents corresponding to the plurality of text objects having text similar to the translated text.

Abstract: In an example embodiment, text is received at an ecommerce service from a first user, the text in a first language and pertaining to a first listing on the ecommerce service. Contextual information about the first listing may be retrieved. The text may be translated to a second language. Then, a plurality of text objects, in the second language, similar to the translated text may be located in a database, each of the text objects corresponding to a listing. Then, the plurality of text objects similar to the translated text may be ranked based on a comparison of the contextual information about the first listing and contextual information stored in the database for the listings corresponding to the plurality of text objects similar to the translated text. At least one of the ranked plurality of text objects may then be translated to the first language.

Abstract: In an example embodiment, text is received at an ecommerce service from a first user, the text in a first language and pertaining to a first listing on the ecommerce service. Contextual information about the first listing may be retrieved. The text may be translated to a second language. Then, a plurality of text objects, in the second language, similar to the translated text may be located in a database, each of the text objects corresponding to a listing. Then, the plurality of text objects similar to the translated text may be ranked based on a comparison of the contextual information about the first listing and contextual information stored in the database for the listings corresponding to the plurality of text objects similar to the translated text. At least one of the ranked plurality of text objects may then be translated to the first language.

Abstract: Product information from local searches can be furnished based on user actions with respect to an eCommerce system. Information about user actions with respect to a product on the eCommerce system can be retrieved from the eCommerce system. A user intent to purchase the product may be determined based on the information about user actions. The product may then be matched to a product on a local search service. A local search on the matched product may then be performed on the local service, to locate one or more stores local to a user's current location that have the matched product in stock. The results from the local search may be displayed to a user.