1. A method for training a phrase-based translation model, comprising: extracting bilingual phrase pairs from utterances and estimating translation probabilities of the bilingual pairs using a processor to create an inventory of bilingual phrase pairs; and creating a statistically integrated phrase lattice (SIPL) (H) using the inventory of bilingual phrase pairs to represent an entire translational model which includes a plurality of weighted finite state transducers (WFSTs) including at least a language model (L) and a translation model (M) against which an input may be compared to translate phrases.
1. A method for training a phrase-based translation model, comprising: extracting bilingual phrase pairs from utterances and estimating translation probabilities of the bilingual pairs using a processor to create an inventory of bilingual phrase pairs; and creating a statistically integrated phrase lattice (SIPL) (H) using the inventory of bilingual phrase pairs to represent an entire translational model which includes a plurality of weighted finite state transducers (WFSTs) including at least a language model (L) and a translation model (M) against which an input may be compared to translate phrases. 2. The method as recited in claim 1 , wherein the translation model (M) includes a word-to-phrase sequencer (P), a phrase translation transducer (T), and a target language phrase-to-word transducer (W).