15. An interlingua engine of claim 13 , wherein said program of input module has a general programming framework which comprises the stages of: a. initializing said computer for preparation of the start of processing, including initializing three complementary databases of role, ambiguity, and sequence to record related data produced in the processing, b. word level processing to perform lexical analysis to resolve word level ambiguities with the aid of said lexicon and grammar of said language, convert un-ambiguous words into said interlingua representation, delete useless senses of words, and prepare un-resolved senses of words for further processing, c. phrase level processing to mark out clauses, adjective phrases and noun phrases, further disambiguate un-resolved ambiguous senses of words and delete useless senses of words, convert indentified phrases and words into said interlingua representation, prepare un-resolved senses of words for further processing, and prepare candidate clauses for sentence level syntactic processing, d. sentence level syntactic processing to check the syntactic correctness of candidate clauses, disambiguate ambiguous clauses with the aid of said database of clause structure list, delete useless candidate clauses, further disambiguate un-resolved senses of words and delete useless senses of words, convert indentified words into said interlingua representation, prepare un-resolved senses of words for further processing, and prepare both identified and un-resolved clauses for sentence level semantic processing, e. sentence level semantic processing to determine the semantic plausibility and meaning of identified clauses, disambiguate still un-resolved clauses with the aid of said databases of semantic rule of structure and semantic code group, delete useless candidate clauses, disambiguate still un-resolved ambiguous senses of words and delete remaining un-resolved senses of words, use said database of metaphor processing procedure to determine the meaning of metaphorically used words and clauses, convert identified clauses and words into said interlingua representation, and prepare still un-resolved clauses for sentence level pragmatic processing, f. sentence level pragmatic processing to finally resolve clauses made ambiguous due to pragmatic use with the aid of said database of clause structure list and said three built-up databases of role, ambiguity, and sequence, convert all the remaining clauses and words into said interlingua representation, and then save the converted text, together with the gathered feature information including said built-up databases, in a coded interlingua text.
15. An interlingua engine of claim 13 , wherein said program of input module has a general programming framework which comprises the stages of: a. initializing said computer for preparation of the start of processing, including initializing three complementary databases of role, ambiguity, and sequence to record related data produced in the processing, b. word level processing to perform lexical analysis to resolve word level ambiguities with the aid of said lexicon and grammar of said language, convert un-ambiguous words into said interlingua representation, delete useless senses of words, and prepare un-resolved senses of words for further processing, c. phrase level processing to mark out clauses, adjective phrases and noun phrases, further disambiguate un-resolved ambiguous senses of words and delete useless senses of words, convert indentified phrases and words into said interlingua representation, prepare un-resolved senses of words for further processing, and prepare candidate clauses for sentence level syntactic processing, d. sentence level syntactic processing to check the syntactic correctness of candidate clauses, disambiguate ambiguous clauses with the aid of said database of clause structure list, delete useless candidate clauses, further disambiguate un-resolved senses of words and delete useless senses of words, convert indentified words into said interlingua representation, prepare un-resolved senses of words for further processing, and prepare both identified and un-resolved clauses for sentence level semantic processing, e. sentence level semantic processing to determine the semantic plausibility and meaning of identified clauses, disambiguate still un-resolved clauses with the aid of said databases of semantic rule of structure and semantic code group, delete useless candidate clauses, disambiguate still un-resolved ambiguous senses of words and delete remaining un-resolved senses of words, use said database of metaphor processing procedure to determine the meaning of metaphorically used words and clauses, convert identified clauses and words into said interlingua representation, and prepare still un-resolved clauses for sentence level pragmatic processing, f. sentence level pragmatic processing to finally resolve clauses made ambiguous due to pragmatic use with the aid of said database of clause structure list and said three built-up databases of role, ambiguity, and sequence, convert all the remaining clauses and words into said interlingua representation, and then save the converted text, together with the gathered feature information including said built-up databases, in a coded interlingua text. 16. An interlingua engine of claim 15 , wherein said word level processing further comprises processing a system of high frequency word and said phrase level processing further comprises using said high frequency word to aid to mark clause, adjective phrase, and noun phrase.