Chinese and English BaseNP Recognition Based on a Maximum Entropy Model

A maximum entropy model in Chinese BaseNP recognition is used in this paper The open test on Chinese TreeBank, the public corpus, indicates the average recall and precision of 87 43% and 88 09% respectively with limited knowledge （text itself and its POS tag） Because of the incomparability of Chinese BaseNP recognition results, the same algorithm is applied in English BaseNP recognition The test on TREEBANK Ⅱ shows that the recall and precision are 93 31% and 93 04%, which are close to the state of the art This not only proves the availability of the algorithm, but also indicates its language independence