1. A non-transitory computer readable medium having instructions stored thereon that, when executed by a processor, cause the processor to manage natural language processing (NLP) model training, the managing comprising: providing an unlabeled corpus of multilingual documents that span a plurality of target languages; training a multilingual embedding on the corpus of multilingual documents as input training data, the multilingual embedding being generalized across the target languages by modifying the input training data and/or transforming multilingual dictionaries into constraints in an underlying optimization problem; training an NLP model on training data for a first language of the target languages, using word embeddings of the trained multilingual embedding as features; and applying the trained NLP model on data from a second of the target languages, the first and second languages being different.