8. A method for estimating a language model weight, the method comprising: receiving a speech feature vector converted from a speech signal, performing a first search by applying a first language model to the received speech feature vector, and outputting a word lattice and a first acoustic score of the word lattice as a continuous speech recognition result; outputting a second acoustic score as a phoneme recognition result by applying an acoustic model to the speech feature vector; comparing the first acoustic score of the continuous speech recognition result with the second acoustic score of the phoneme recognition result; outputting a first language model weight when the first acoustic score of the continuous speech recognition result is better than the second acoustic score of the phoneme recognition result; and performing a second search by applying a second language model weight, which is the same as the output first language model, to the word lattice.
8. A method for estimating a language model weight, the method comprising: receiving a speech feature vector converted from a speech signal, performing a first search by applying a first language model to the received speech feature vector, and outputting a word lattice and a first acoustic score of the word lattice as a continuous speech recognition result; outputting a second acoustic score as a phoneme recognition result by applying an acoustic model to the speech feature vector; comparing the first acoustic score of the continuous speech recognition result with the second acoustic score of the phoneme recognition result; outputting a first language model weight when the first acoustic score of the continuous speech recognition result is better than the second acoustic score of the phoneme recognition result; and performing a second search by applying a second language model weight, which is the same as the output first language model, to the word lattice. 11. The method of claim 8 , wherein in the outputting of the weight, when the first acoustic score of the continuous speech recognition result is neither better nor worse than the second acoustic score of the phoneme recognition result, a weight corresponding to an intermediate value between the first language model weight and the second language model weight is output.