Base Noun Phrase Translation Using Web Data and the EM Algorithm

We consider here the problem of Base Noun Phrase translation. We propose a new method to perform the task. For a given Base NP, we first search its translation candidates from the web. We next determine the possible translation(s) from among the candidates using one of the two methods that we have developed. In one method, we employ an ensemble of Naïve Bayesian Classifiers constructed with the EM Algorithm. In the other method, we use TF-IDF vectors also constructed with the EM Algorithm. Experimental results indicate that the coverage and accuracy of our method are significantly better than those of the baseline methods relying on existing technologies.