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Improving the parsing accuracy of a statistical 'context sensitive' parser, we have developed a new learner model which is capable of identifying structural deficiencies of a learner for the template-automaton-based ICALL (intelligent language tutoring system) of Japanese-English writing skill . The parsing accuracy of corpus-based parsers is improved first by pre-assigning POS (part-of-speech) tags to well-formed sentences in a template and then by making use of a compound dictionary ofdoi:10.1076/call.15.4.357.8267 fatcat:qbdpioourvdxfgomsbpqqxlrfe