This paper presents a practical method of adding problem-specific notation to an established computer language. Our idea is to use unrestricted operator overloading as a tool to map the problem domain notation directly into an existing programming language.
Our method introduces new operator symbols and function names into a host language by overloading existing usage. We extend the host programming language syntax to an augmented language which is mapped to the host language by a programmable preprocessor. The preprocessor uses a programmer-modifiable symbolic language grammar to translate an augmented program into a standard program. This process gives a natural extension to any computer language without modifying the host language. Direct use of problem notation can improve program legibility and code comprehension within the problem domain. The preprocessor provides a useful research tool for exploring language issues without the need to write a compiler for a new language. It can also be used to provide a domain specific language for a programming group at lower cost than new language development. This paper presents several working examples which illustrate our work. We redefine many of the standard C operators to alleviate some of the more common programming errors, thus creating a 'cleaner' C. As a more esoteric example, we encode a subset of APL vector operators as an algebraic extension to the C language. A curious application of our method shows its success in an arbitrary problem domain by compiling and executing poetry. Our final example introduces standard symbolic logic notation into C for tautology verification.