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The "phrasinator" uses a simple Bayesian nonparametric model to segment text into chunks. The inferred model is then saved so that it can rapidly predict segments in new (but related) texts. Input will be a corpus of sentences, e.g.: economists have argued that real interest rates have fallen . The output will be a model that, when run with cdec, will produce a segmentation into phrasal units, e.g.: economists have argued that real_interest_rates have fallen . To train a model, run ./train-phrasinator.pl and follow instructions.