This thesis documents several new developments in the theory of parsing, and also the practical value of their implementation in the Copper parser generator.;The most widely-used apparatus for syntactic analysis of programming languages consists of a scanner based on deterministic finite automata, built from a set of regular expressions called the lexical syntax, and a separate parser, operating on the output of this scanner, built from a context-free grammar and utilizing the LALR(1) algorithm.;While the LALR(1) algorithm has the advantage of guaranteeing a non-ambiguous parse, and the approach of keeping the scanner and parser separate make the compilation process more clean and modular, it is also a brittle approach. The class of grammars that can be parsed with an LALR(1) parser is not closed under grammar composition, and small changes to an LALR(1) grammar can remove the grammar from the LALR(1) class. Also, the separation of scanner and parser prevent the use, in any organized way, of parser context to resolve ambiguities in the lexical syntax.;One area in which both of these drawbacks pose a particular problem is that of parsing embedded and extensible languages. In particular, it forms one of the last major impediments to the development of an extensible compiler in which language extensions are imported and composed by the end user (programmer) in an analogous manner to the way libraries are presently imported. This is due not only to the problem of the LALR(1) grammar class not being closed under composition, but to the very real possibility that the lexical syntax of two different extensions will clash, making it impossible to construct a scanner without extensive manual resolution of ambiguities, if at all.;This thesis presents three innovations that are a large step towards eliminating parsing as an Achilles' heel in this application. Firstly, it describes a new algorithm of scanning called context-aware scanning, in which the scanner at each scan is made aware of what sorts of tokens are recognized as valid by the parser at that point. By allowing the use of parser context in the scanner to disambiguate, context-aware scanning makes the specification of embedded languages much simpler---instead of specifying a scanner that must explicitly switch "modes" to scan on the different embedded languages, one simply compiles a context-aware scanner from a single lexical specification, which has implicit "modes" to scan properly on each embedded language. Similarly, in an extensible language, this puts a degree of separation between the lexical syntax of different language extensions, so that any clashes of this sort will not be an issue.;Secondly, the thesis describes an analysis that operates on grammar extensions of a certain form, and can recognize their membership in a class of extensions that can be composed with each other and still produce a deterministic parser---enabling end-users to compose extensions written by different language developers with this guarantee of determinism. The analysis is made practical by context-aware scanning, which ensures a lack of lexical issues to go along with the lack of syntactic nondeterminism. It is this analysis---the first of its kind---that is the largest step toward realizing the sort of extensible compiler described above, as the writer of each extension can test it independently using the analysis and thus resolve any lexical or syntactic issues with the extension before the end user ever sees it.;Thirdly, the thesis describes a corollary of this analysis, which allows extensions that have passed the analysis to be distributed in parse table form and then composed on-the-fly by the end users, with the same guarantee of determinism. Besides expediting the operation of composition, this also enables the use of the analysis in situations where the writer of a language or language extension does not want to release its grammar to the public.;Finally, the thesis discusses how these approaches have been implemented and made practical in Copper, including runtime tests, implementations and analyses of real-world grammars and extensions.
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