11. A method as claimed in claim 10, wherein the probabilities for generation of the sentences, each composed of words in word family candidates in accordance with the "Chinese Language models" including occurrence probabilities of a "character", a "word", a "word class", two "characters", "words" or "word classes" adjacent to each other, three "characters", "words" or "word classes" adjacent to each other, and a plurality of "characters", "words" or "word classes" present in a same sentence.
11. A method as claimed in claim 10, wherein the probabilities for generation of the sentences, each composed of words in word family candidates in accordance with the "Chinese Language models" including occurrence probabilities of a "character", a "word", a "word class", two "characters", "words" or "word classes" adjacent to each other, three "characters", "words" or "word classes" adjacent to each other, and a plurality of "characters", "words" or "word classes" present in a same sentence. 12. A method as claimed in claim 11, further comprising: classifying words into the word classes, comprising: (1) classifying the words into a plurality of word groups, each of the word groups having common parts-of-speech, semantics and syntax in accordance with a linguistic knowledge; (2) dividing the words, which are classified into any of the word groups during step 1 into a plurality of word sub-groups with consistent statistical characteristics including statistical characteristics pertaining to preceding words, following words, and word-pairs that tend to be present in a same sentence, obtained from a Chinese text corpus; and (3) recombining the word sub-groups into a final word class.