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Asked: May 11, 20262026-05-11T00:01:04+00:00 2026-05-11T00:01:04+00:00

I’ve been mulling over creating a language that would be extremely well suited to

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I’ve been mulling over creating a language that would be extremely well suited to creation of DSLs, by allowing definitions of functions that are infix, postfix, prefix, or even consist of multiple words. For example, you could define an infix multiplication operator as follows (where multiply(X,Y) is already defined):

a * b => multiply(a,b) 

Or a postfix ‘squared’ operator:

a squared => a * a 

Or a C or Java-style ternary operator, which involves two keywords interspersed with variables:

a ? b : c => if a==true then b else c 

Clearly there is plenty of scope for ambiguities in such a language, but if it is statically typed (with type inference), then most ambiguities could be eliminated, and those that remain could be considered a syntax error (to be corrected by adding brackets where appropriate).

Is there some reason I’m not seeing that would make this extremely difficult, impossible, or just a plain bad idea?

Edit: A number of people have pointed me to languages that may do this or something like this, but I’m actually interested in pointers to how I could implement my own parser for it, or problems I might encounter if doing so.

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  1. 2026-05-11T00:01:05+00:00Added an answer on May 11, 2026 at 12:01 am

    This is not too hard to do. You’ll want to assign each operator a fixity (infix, prefix, or postfix) and a precedence. Make the precedence a real number; you’ll thank me later. Operators of higher precedence bind more tightly than operators of lower precedence; at equal levels of precedence, you can require disambiguation with parentheses, but you’ll probably prefer to permit some operators to be associative so you can write

    x + y + z 

    without parentheses. Once you have a fixity, a precedence, and an associativity for each operator, you’ll want to write an operator-precedence parser. This kind of parser is fairly simply to write; it scans tokens from left to right and uses one auxiliary stack. There is an explanation in the dragon book but I have never found it very clear, in part because the dragon book describes a very general case of operator-precedence parsing. But I don’t think you’ll find it difficult.

    Another case you’ll want to be careful of is when you have

    prefix (e) postfix 

    where prefix and postfix have the same precedence. This case also requires parentheses for disambiguation.

    My paper Unparsing Expressions with Prefix and Postfix Operators has an example parser in the back, and you can download the code, but it’s written in ML, so its workings may not be obvious to the amateur. But the whole business of fixity and so on is explained in great detail.

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