Top-Down Parsing with Parsing Contexts
Data(s) |
2014
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Resumo |
The domain of context-free languages has been extensively explored and there exist numerous techniques for parsing (all or a subset of) context-free languages. Unfortunately, some programming languages are not context-free. Using standard context-free parsing techniques to parse a context-sensitive programming language poses a considerable challenge. Im- plementors of programming language parsers have adopted various techniques, such as hand-written parsers, special lex- ers, or post-processing of an ambiguous parser output to deal with that challenge. In this paper we suggest a simple extension of a top-down parser with contextual information. Contrary to the tradi- tional approach that uses only the input stream as an input to a parsing function, we use a parsing context that provides ac- cess to a stream and possibly to other context-sensitive infor- mation. At a same time we keep the context-free formalism so a grammar definition stays simple without mind-blowing context-sensitive rules. We show that our approach can be used for various purposes such as indent-sensitive parsing, a high-precision island parsing or XML (with arbitrary el- ement names) parsing. We demonstrate our solution with PetitParser, a parsing-expression grammar based, top-down, parser combinator framework written in Smalltalk. |
Formato |
application/pdf |
Identificador |
http://boris.unibe.ch/67045/1/Kurs14a-ParsingContext.pdf Kurs, Jan; Lungu, Mircea; Nierstrasz, Oscar (2014). Top-Down Parsing with Parsing Contexts. In: Proceedings of International Workshop on Smalltalk Technologies (IWST 2014). doi:10.7892/boris.67045 |
Idioma(s) |
eng |
Relação |
http://boris.unibe.ch/67045/ http://scg.unibe.ch/archive/papers/Kurs14a-ParsingContext.pdf |
Direitos |
info:eu-repo/semantics/restrictedAccess |
Fonte |
Kurs, Jan; Lungu, Mircea; Nierstrasz, Oscar (2014). Top-Down Parsing with Parsing Contexts. In: Proceedings of International Workshop on Smalltalk Technologies (IWST 2014). |
Palavras-Chave | #000 Computer science, knowledge & systems #510 Mathematics |
Tipo |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion PeerReviewed |