23. A method for adapting a machine translation system for a domain of interest, comprising: providing a biphrase library comprising a set of biphrases, each biphrase comprising a source text fragment in a source language and a target text fragment in a target language, the biphrases being associated with bilingual probabilities estimated on a parallel corpus of text strings in the source and target languages; providing a first monolingual corpus for the domain of interest comprising text strings in one of the source language and target language; computing a monolingual text fragment probability for each of a set of text fragments found in the biphrase library in the one of the source language and target language, estimated on the first monolingual corpus; generating weights for features of a scoring function, at least one of the features being a domain-adapted feature that is to be computed based on a sum, over each aligned pair of a source fragment of a source text string and a target text fragment of a candidate translation, of product of: a bilingual probability retrieved from the biphrase library, the bilingual probability being for the respective source and target text fragments; and a monolingual probability for the respective text fragments of one of the source text string and the candidate translation.
23. A method for adapting a machine translation system for a domain of interest, comprising: providing a biphrase library comprising a set of biphrases, each biphrase comprising a source text fragment in a source language and a target text fragment in a target language, the biphrases being associated with bilingual probabilities estimated on a parallel corpus of text strings in the source and target languages; providing a first monolingual corpus for the domain of interest comprising text strings in one of the source language and target language; computing a monolingual text fragment probability for each of a set of text fragments found in the biphrase library in the one of the source language and target language, estimated on the first monolingual corpus; generating weights for features of a scoring function, at least one of the features being a domain-adapted feature that is to be computed based on a sum, over each aligned pair of a source fragment of a source text string and a target text fragment of a candidate translation, of product of: a bilingual probability retrieved from the biphrase library, the bilingual probability being for the respective source and target text fragments; and a monolingual probability for the respective text fragments of one of the source text string and the candidate translation. 24. The method of claim 23 , further comprising: providing a second monolingual corpus for the domain of interest comprising text strings in another of the source language and target language; and computing a monolingual text fragment probability for each of a set of text fragments found in the biphrase library in the other of the source language and target language, based on the second monolingual corpus.