41. The method of claim 40, further comprising the step of marking with a tag said information element certifying it to be translatable.
40. A computer-based method for monolingual document development and multilingual translation, comprising the steps of: (1) entering into a text editor at least one information element created in a source language; (2) checking, via a language editor, said at least one information element against a constrained source language; (3) providing to an author interactive feedback relating to said at least one information element if non-constrained source language is present in said at least one information element until said at least one information element has been modified into a constrained source test, said interactive feedback is performed after consulting a domain model which provides domain knowledge and linguistic semantic knowledge about lexical units and of their combinations, wherein said domain model is a tripartite domain model, said tripartite domain model comprising, a kernel which contains lexical information that is required by said language editor and said a machine translation system, wherein said lexical information includes lexical items within said natural language subset along with associated semantic concepts, parts of speech, and morphological information, a language editor domain model which contains information that is required only by said language editor, wherein said information includes at least one of a natural language subset of synonyms for items not within said natural language subset, a dictionary of definitions of said lexical items and a set of examples of using said lexical items, and a machine translation domain model which contains information which is required by only said machine translation system, said machine translation domain model includes a hierarchy of concepts used for unambiguous mapping and semantic verification in translation; (4) checking for syntactic grammatical errors and semantic ambiguities in said constrained text by consulting said domain model; (5) providing interactive feedback to said author to remove said syntactic grammatical errors and said semantic ambiguities in said constrained source text to produce at least one unambiguous constrained information element; (6) saving said at least one unambiguous constrained information element for later use; and (7) translating with said machine translation system said at least one unambiguous constrained information element into a foreign language.