1. A method, comprising: receiving a query word entered by a user and identifying source language of the query word, the source language being a natural language; translating, using a processor, the query word from the source language to query words of a plurality of target languages, the plurality of target languages being different than the source language; searching indices of web page information corresponding to the plurality of target languages based on the translated query words in the plurality of corresponding target languages to obtain web page information in the plurality of corresponding target languages, wherein the searching of the indices of web page information corresponding to the plurality of target languages comprises: acquiring domain information for characteristic domains corresponding to web page information in at least one target language, the characteristic domains including product information title, product information ID, product information keywords, product information attributes, product information categories, general description of the product information, detailed description of the product information, or any combination thereof; performing a normalization processing on the domain information based on semantic rules for the at least one target language and obtaining the smallest semantic unit in the at least one target language, the smallest semantic unit corresponds to a word or a phrase; wherein: the normalization processing includes one or more of: encoding processing, upper to lower case conversion, garbage character processing, improper character processing special character processing, division into sentences, division into words, reduction to word root, or elimination of tones; and establishing an index based on the characteristic domains and the smallest semantic unit in the corresponding characteristic domains; and searching the indices of the web page information corresponding to the plurality of target languages based on the smallest semantic unit in the plurality of target languages to obtain web page information in a corresponding target language, wherein the obtaining of the web page information in the corresponding target language comprises: calculating a first relevance weight of web page information in a first target language and a query word in the first target language; calculating a second relevance weight of web page information in a second target language and a query word in the second target language; and ranking web page information in the first and second target languages based on the first and second relevance weights to obtain the web page information in the corresponding target language; from the web page information obtained from the indices corresponding to the plurality of target languages, translating, using the processor, the obtained web page information from the plurality of target languages to the source language; and sending back at least one piece of the obtained translated web page information to the user.
1. A method, comprising: receiving a query word entered by a user and identifying source language of the query word, the source language being a natural language; translating, using a processor, the query word from the source language to query words of a plurality of target languages, the plurality of target languages being different than the source language; searching indices of web page information corresponding to the plurality of target languages based on the translated query words in the plurality of corresponding target languages to obtain web page information in the plurality of corresponding target languages, wherein the searching of the indices of web page information corresponding to the plurality of target languages comprises: acquiring domain information for characteristic domains corresponding to web page information in at least one target language, the characteristic domains including product information title, product information ID, product information keywords, product information attributes, product information categories, general description of the product information, detailed description of the product information, or any combination thereof; performing a normalization processing on the domain information based on semantic rules for the at least one target language and obtaining the smallest semantic unit in the at least one target language, the smallest semantic unit corresponds to a word or a phrase; wherein: the normalization processing includes one or more of: encoding processing, upper to lower case conversion, garbage character processing, improper character processing special character processing, division into sentences, division into words, reduction to word root, or elimination of tones; and establishing an index based on the characteristic domains and the smallest semantic unit in the corresponding characteristic domains; and searching the indices of the web page information corresponding to the plurality of target languages based on the smallest semantic unit in the plurality of target languages to obtain web page information in a corresponding target language, wherein the obtaining of the web page information in the corresponding target language comprises: calculating a first relevance weight of web page information in a first target language and a query word in the first target language; calculating a second relevance weight of web page information in a second target language and a query word in the second target language; and ranking web page information in the first and second target languages based on the first and second relevance weights to obtain the web page information in the corresponding target language; from the web page information obtained from the indices corresponding to the plurality of target languages, translating, using the processor, the obtained web page information from the plurality of target languages to the source language; and sending back at least one piece of the obtained translated web page information to the user. 3. The method as described in claim 1 , the translating of the query word from the source language to the query words of the plurality of target languages comprises: calculating a first translation weight for translation of the query word from the source language to the query words in the plurality of target languages.