9. A physical, non-transitory computer storage medium having stored thereon a sequence of instructions which when executed by a computer system cause said computer system to perform a method for identifying word combinations in a source language and corresponding likely translations in a target language, the instructions comprising: acquiring, by one or more processors, a text in the source language and a text in the target language, wherein the text in the source language is a translation of the text in the target language; performing, by one or more processors, semantic analysis on the acquired text in the source language to build deep semantic structures of one or more sentences of the acquired text in the source language, where the deep semantic structures comprise language-independent semantic classes and deep slots; performing, by one or more processors, semantic analysis on the acquired text in the target language to build deep semantic structures of one or more sentences of the acquired text in the target language, where the deep semantic structures comprise language-independent semantic classes and deep slots; matching, by one or more processors, the deep semantic structures of the sentences in the text in the source language to the deep semantic structures of the sentences in the text in the target language; determining, by one or more processors, a correspondence between deep structure elements for sentences with essentially matching deep structures; and identifying, by one or more processors, word combinations in the source and the target languages that substantially often match into each other through corresponding deep structure elements as likely translations.
11. The physical, non-transitory computer storage medium of claim 9 further comprising identifying instances where the likely translations based on analysis of translated texts deviate from translations performed by a machine translation system so as to detect errors in language models and translation rules of the machine translation system.