1. A system, comprising: one or more processors; and memory that includes a plurality of computer-executable components executable by the one or more processors, the plurality of computer-executable components comprising: a pre-processing component to process a bilingual web page into a Document Object Model (DOM) tree that includes at least one node; a seed mining component to link bilingual snippet pairs of the at least one node into a plurality of translation snippet pairs; a pattern learning component to determine one or more best fit candidate patterns based on the plurality of translation snippet pairs via a Support Vector Machine (SVM) classifier; a data mining component to mine one or more translation pairs from the bilingual web page using the one or more best fit candidate patterns; and a data storage component to store the one or more translation pairs, wherein the one or more translation pairs including at least one of a term pair, a phrase pair, or a sentence pair.
1. A system, comprising: one or more processors; and memory that includes a plurality of computer-executable components executable by the one or more processors, the plurality of computer-executable components comprising: a pre-processing component to process a bilingual web page into a Document Object Model (DOM) tree that includes at least one node; a seed mining component to link bilingual snippet pairs of the at least one node into a plurality of translation snippet pairs; a pattern learning component to determine one or more best fit candidate patterns based on the plurality of translation snippet pairs via a Support Vector Machine (SVM) classifier; a data mining component to mine one or more translation pairs from the bilingual web page using the one or more best fit candidate patterns; and a data storage component to store the one or more translation pairs, wherein the one or more translation pairs including at least one of a term pair, a phrase pair, or a sentence pair. 4. The system of claim 1 , wherein the pre-processing component is to further determine whether the at least one node is a collective node, whether a percentage of snippets that do not belong to bilingual snippet pairs in the collective node does not exceed a maximum percentage, and whether the collective node includes a minimum number of non-overlapping bilingual snippet pairs.