Economic activities now keep being globalized more and more. Thus we are driven to deal with not only the documents written in English but also those written in other languages. In order to enable us to develop processors of any language quickly, we have been making a framework based on statistical processing and machine learning. At present, we confirmed that part-of-speech (POS) taggers of some target languages can be built by using this framework and the information of source languages. In this paper, we describe the method of acquiring POS lexicons and that of generating supervisors of POS sequences, which are used to learn grammatical models of target languages. We also explain the experimental results of building POS taggers of Portuguese and Indonesian by using some source languages.
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