| 摘要 |
PURPOSE:To select optimum structure with high accuracy according to any simple method concerning a vague sentence by selecting the maximum likelihood input structure according to calculated tolerance and outputting the selected maximum likelihood tolerant structure. CONSTITUTION:A sentence in a natural language is inputted from an input means 1, the input sentence is mapped to input structure by an analyzing means 2 and when the plural kinds of input structure are provided, the tolerance is calculated for each kind of structure. Since the maximum likelihood tolerant input structure is selected and outputted by a selecting means 4 according to the calculated tolerance, the optimum structure can be selected with high accuracy concerning the vague sentence. Namely, the maximum likelihood tolerant structure is outputted while referring to the example concerning the vague input sentence. Moreover, approximate collation can be provided by utilizing thesaurus, and the number of examples is reduced. Further, since the example is prepared for each field, the example can be easily adjusted for each field. On the other hand, this method can be applied to any arbitrary language and easily integrated into a lot of conventional analyzing methods (such as CFG and pattern matching). |
