19. A system for determining a dropped pronoun from a source language, comprising: at least one distinct software module, each distinct software module being embodied on a tangible computer-readable medium; a memory; and at least one processor coupled to the memory and operative for: collecting parallel sentences from a source language and a target language; creating at least one word alignment between the parallel sentences in the source language and the target language; mapping at least one pronoun from the target language sentence onto the source language sentence; computing multiple features from the mapping, wherein the multiple features are extracted from both the source language and the at least one pronoun projected from the target language; using the multiple features to train a plurality of classifiers to predict position and spelling of at least one pronoun in the target language when the at least one pronoun is dropped in the source language; updating the plurality of classifiers based on user feedback provided in response to a prediction of position and spelling of at least one pronoun in the target language when the at least one pronoun is dropped in the source language; and providing a graphical user interface to enable a user to select one of the plurality of classifiers to apply to a portion of the source language, wherein said plurality of classifiers are displayed to the user via the graphical user interface for selection and comprise (i) a conditional random field classifier, (ii) a tree-relabeling classifier, and (iii) a maximum entropy classifier.
21. The system of claim 19 , wherein the at least one processor coupled to the memory operative for using the at least one feature to train the plurality of classifiers is further operative for using at least one mapped feature in conjunction with at least one source language feature and at least one target language feature, comprising: producing an initial translation for the source language sentence into the target language; computing multiple features from the initial translation; and using the multiple features as input to the plurality of classifiers together with the at least one mapped feature.