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Part of speech tagging is a task to assign part of speeches to words depending on the context. This paper describes a bigram model for part of speech tagging for English and some implementation issues in developing a tagger, Jtag, which is designed to effectively and efficiently tag large volume of free texts. Timing and performance comparison with another similar system show that Jtag is both effective and efficient, thus especially suitable for applications such information retrieval.