11. A method of representing natural languages in a common machine-readable form, the resulting representation called interlingua, comprising providing a lexicon and a grammar, where: a. said lexicon comprises: 1. a system of specifically designed classification codes for prototypical words of noun, adjective, verb, and adverb respectively, 2. virtual codes for each kind of derived words, and 3. a system of synomymous feature set for synonymous word and metaphorical feature set for metaphorical sense of word, b. said grammar comprises: 1. a system of classification code and composition for prototypical clause, 2. a system of time feature set, space feature set, and adverb feature set, 3. a system of variational feature set for variational clause and synonymous feature set for synonymous clause, and 4. a system of metaphor processing procedure, and c. said prototypical verb word and said prototypical clause comprising said prototypical verb word share the same classification code, whereby a sense of a word of a language will be: a. matched to a unique interlingua classification code if it is prototypical, or b. if it is synonymous to a prototypical word then matched to the same classification code of said prototypical word plus a feature of synonymy, or c. if it is a derived word then matched to a virtual code plus the interlingua classification code of its stem word and a feature of derivation, or d. if it is a fixed extended sense then matched to an interlingua classification code of a word corresponding to said extended sense plus a feature of extension, or e. if it is a multiple use case then matched to an interlingua classification code of a word corresponding to said multiple use plus a feature of multiple use, or f. if it is used in a special clause or idiom then treated according to the corresponding rule governing said special clause or idiom respectively, and whereby a clause of a language will be: a. matched to a unique interlingua classification code of its comprised verb if both said clause and said verb are prototypical, or b. if said clause is variational and its comprised verb is prototypical then matched to the same interlingua classification code of its associated prototypical clause plus a feature of variation, or c. if said clause is prototypical and its comprised verb is not prototypical then matched to an interlingua classification code of a verb corresponding to said verb according to said verb being derived, fixed extended, or multiple use plus a corresponding feature of said verb, or d. if said clause is variational and its comprised verb is not prototypical then matched to an interlingua classification code of a verb corresponding to said verb according to said verb being derived, fixed extended, or multiple use plus a corresponding feature of said verb and a variational feature of said clause, or e. if said clause is a special clause then matched to an interlingua classification code for special clause plus a feature of special clause.
11. A method of representing natural languages in a common machine-readable form, the resulting representation called interlingua, comprising providing a lexicon and a grammar, where: a. said lexicon comprises: 1. a system of specifically designed classification codes for prototypical words of noun, adjective, verb, and adverb respectively, 2. virtual codes for each kind of derived words, and 3. a system of synomymous feature set for synonymous word and metaphorical feature set for metaphorical sense of word, b. said grammar comprises: 1. a system of classification code and composition for prototypical clause, 2. a system of time feature set, space feature set, and adverb feature set, 3. a system of variational feature set for variational clause and synonymous feature set for synonymous clause, and 4. a system of metaphor processing procedure, and c. said prototypical verb word and said prototypical clause comprising said prototypical verb word share the same classification code, whereby a sense of a word of a language will be: a. matched to a unique interlingua classification code if it is prototypical, or b. if it is synonymous to a prototypical word then matched to the same classification code of said prototypical word plus a feature of synonymy, or c. if it is a derived word then matched to a virtual code plus the interlingua classification code of its stem word and a feature of derivation, or d. if it is a fixed extended sense then matched to an interlingua classification code of a word corresponding to said extended sense plus a feature of extension, or e. if it is a multiple use case then matched to an interlingua classification code of a word corresponding to said multiple use plus a feature of multiple use, or f. if it is used in a special clause or idiom then treated according to the corresponding rule governing said special clause or idiom respectively, and whereby a clause of a language will be: a. matched to a unique interlingua classification code of its comprised verb if both said clause and said verb are prototypical, or b. if said clause is variational and its comprised verb is prototypical then matched to the same interlingua classification code of its associated prototypical clause plus a feature of variation, or c. if said clause is prototypical and its comprised verb is not prototypical then matched to an interlingua classification code of a verb corresponding to said verb according to said verb being derived, fixed extended, or multiple use plus a corresponding feature of said verb, or d. if said clause is variational and its comprised verb is not prototypical then matched to an interlingua classification code of a verb corresponding to said verb according to said verb being derived, fixed extended, or multiple use plus a corresponding feature of said verb and a variational feature of said clause, or e. if said clause is a special clause then matched to an interlingua classification code for special clause plus a feature of special clause. 13. A method for using a computer to convert by a program a text of a natural language into a coded text of the interlingua representation of claim 11 , this part of said program called input module of said language, and conversely to convert a coded text of said interlingua representation into a text of said language, this part of said program called output module of said language, said program called interlingua engine and said language called being incorporated in said interlingua engine, comprising: a. providing a computer capable of doing word-processing of said language, b. providing said interlingua representation stored in said computer, c. providing a matching lexicon of said language compiled in accordance with said interlingua representation and stored in said computer, d. providing a database of clause structure list with respect to said feature of variation, compiled for said language, and stored in said computer, e. providing a database of synonymous clause list with respect to said feature of synonymy, compiled for said language, and stored in said computer, f. providing a database of semantic rule of structure compiled for said interlingua representation, updated for said language, and stored in said computer, g. providing a database of semantic code group compiled for said interlingua representation, updated for said language, and stored in said computer, h. providing a database of metaphor processing procedure compiled for said system of metaphor processing procedure, updated for said language, and stored in said computer, i. providing supplementary knowledge databases in the format of said interlingua representation and stored in said computer, and j. providing said computer programs of input and output modules for said language and stored in said computer, where said programs are based on said interlingua representation, on said databases of clause structure list, synonymous clause list, semantic rule of structure, semantic code group, and metaphor processing procedure, and on said knowledge databases, whereby said input module will convert a text of said language into said interlingua representation by solving the two fundamental problems of ambiguity and matching senses, where the ambiguity problem is solved with the aid of said databases, in particular said databases of clause structure list, semantic rule of structure, and semantic code group, and the problem of matching senses is solved by said interlingua representation and said databases, in particular said database of metaphor processing procedure, and the output module will convert an interlingua coded text into a text of said language by first generating a text using said database of clause structure list and then improving the readability of the text with the aid of said databases, in particular said database of synonymous clause list.