10. A method of identifying parallel, bilingual data in first and second documents, the first document being in a first language and the second document being in a second language, comprising: determining a plurality of parallelism features that are indicative of whether or not the second document is a translation of the first document; utilizing a computer processor that is a part of a computer to verify based at least in part on the calculated parallelism features that the second document is the translation of the first document; obtaining document object model tree structures representative of a layout of the first and second documents, respectively, the document tree structures including nodes corresponding to text in the first and second documents; revising the document object model tree structures by combining text nodes with parent nodes of the text nodes and by deleting nodes that are not in a predefined subset of nodes in the document object model; aligning the document tree structures by aligning nodes in the tree structures with one another while preserving a sequence and hierarchy of the nodes in the document tree structures; and identifying parallel, bilingual text segments as text segments corresponding to aligned nodes in the document tree structures.
10. A method of identifying parallel, bilingual data in first and second documents, the first document being in a first language and the second document being in a second language, comprising: determining a plurality of parallelism features that are indicative of whether or not the second document is a translation of the first document; utilizing a computer processor that is a part of a computer to verify based at least in part on the calculated parallelism features that the second document is the translation of the first document; obtaining document object model tree structures representative of a layout of the first and second documents, respectively, the document tree structures including nodes corresponding to text in the first and second documents; revising the document object model tree structures by combining text nodes with parent nodes of the text nodes and by deleting nodes that are not in a predefined subset of nodes in the document object model; aligning the document tree structures by aligning nodes in the tree structures with one another while preserving a sequence and hierarchy of the nodes in the document tree structures; and identifying parallel, bilingual text segments as text segments corresponding to aligned nodes in the document tree structures. 11. The method of claim 10 wherein the first and second documents each comprise a web page and wherein aligning text comprises aligning sentences within the identified parallel, bilingual text segments.