3. A named-entity recognition system according to claim 1, wherein said Markov model includes a first language model for assigning transition probabilities between the states of the upper level, and includes a second language model for assigning transition probabilities between the words of the lower level.
3. A named-entity recognition system according to claim 1, wherein said Markov model includes a first language model for assigning transition probabilities between the states of the upper level, and includes a second language model for assigning transition probabilities between the words of the lower level. 4. A named-entity recognition system according to claim 3, wherein said first language model is a bigram model, and said said second language model is a bigram model.