... performance on machine translated text, because of the poor syntax of the MT output and other errors in the translation. As some tagging distinctions are clearer in the source, and some in the target, ... ORGANIZATION, GPE and LOCATION, and so a total of 9 states. 4.4 Feature Sets for MEMM In our experiment, we are interested not only in training a module, but also in measuring the different ... training data, and so divided the NIST05 data into 5 subsets, each containing 20 documents. We ran a cross validation experiment on this small corpus, with 4 subsets as training data and...