11. A method of prosody parsing, comprising: training a prosody statistic model by using the method of any one of claims 1 - 10 ; inputting a text for prosody parsing, which includes at least one sentence; transforming the sentence into a token sequence; calculating a pause weight for each pause position in said token sequence based on said prosody statistic model; and selecting at least one pause position to insert a pause tag according to said calculated pause weight for each pause position, wherein the training, the inputting, the transforming, the calculating and the selecting, are executed by a computer.
11. A method of prosody parsing, comprising: training a prosody statistic model by using the method of any one of claims 1 - 10 ; inputting a text for prosody parsing, which includes at least one sentence; transforming the sentence into a token sequence; calculating a pause weight for each pause position in said token sequence based on said prosody statistic model; and selecting at least one pause position to insert a pause tag according to said calculated pause weight for each pause position, wherein the training, the inputting, the transforming, the calculating and the selecting, are executed by a computer. 16. The method of prosody parsing according to claim 11 , wherein said step of selecting at least one pause position to insert a pause tag is performed on condition that: the pause weight of a pause position is higher than a predetermined threshold.