Grammars For Programming Languages
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| Author | : J. Craig Cleaveland |
| Publisher | : Elsevier Publishing Company |
| Total Pages | : 184 |
| Release | : 1977 |
| Genre | : Computers |
| ISBN | : |
Thus, the organization of the book as it finally evolved contains two introductory chapters that can be read by anyone familiar with a programming language. These chapters provide a general background in the commonly-used grammatical notations describing the syntax of a programming language. This is information that should be familiar to anyone who programs-unfortunately, it is familiar to only a very few. With the information contained in these first two chapters, the programmer should have confident access to the syntactic portions of programming-language reference manuals. This includes an understanding of what will not appear in the syntax as well as what should appear there. The remainder of the book builds on this basic foundation exploring the limits of definitional possibilities using a grammatical formalism. To this end, the third chapter introduces the ALGOL 68 grammatical formalism with extensive examples. The fourth chapter gives four grammars describing a simple programming language. This illustrates the evolution of grammatical definitions from ALGOL 60 to ALGOL 68 and beyond. The third grammar in the fourth chapter successfully supplies an answer to Martin Kay's germinal challenge.
| Author | : Aarne Ranta |
| Publisher | : Stanford Univ Center for the Study |
| Total Pages | : 331 |
| Release | : 2011 |
| Genre | : Computers |
| ISBN | : 9781575866260 |
Grammatical Framework is a programming language designed for writing grammars, which has the capability of addressing several languages in parallel. This thorough introduction demonstrates how to write grammars in Grammatical Framework and use them in applications such as tourist phrasebooks, spoken dialogue systems, and natural language interfaces. The examples and exercises presented here address several languages, and the readers are shown how to look at their own languages from the computational perspective.
| Author | : Robert Nystrom |
| Publisher | : Genever Benning |
| Total Pages | : 1021 |
| Release | : 2021-07-27 |
| Genre | : Computers |
| ISBN | : 0990582949 |
Despite using them every day, most software engineers know little about how programming languages are designed and implemented. For many, their only experience with that corner of computer science was a terrifying "compilers" class that they suffered through in undergrad and tried to blot from their memory as soon as they had scribbled their last NFA to DFA conversion on the final exam. That fearsome reputation belies a field that is rich with useful techniques and not so difficult as some of its practitioners might have you believe. A better understanding of how programming languages are built will make you a stronger software engineer and teach you concepts and data structures you'll use the rest of your coding days. You might even have fun. This book teaches you everything you need to know to implement a full-featured, efficient scripting language. You'll learn both high-level concepts around parsing and semantics and gritty details like bytecode representation and garbage collection. Your brain will light up with new ideas, and your hands will get dirty and calloused. Starting from main(), you will build a language that features rich syntax, dynamic typing, garbage collection, lexical scope, first-class functions, closures, classes, and inheritance. All packed into a few thousand lines of clean, fast code that you thoroughly understand because you wrote each one yourself.
| Author | : Aarne Ranta |
| Publisher | : |
| Total Pages | : 224 |
| Release | : 2012 |
| Genre | : Computers |
| ISBN | : 9781848900646 |
Implementing a programming language means bridging the gap from the programmer's high-level thinking to the machine's zeros and ones. If this is done in an efficient and reliable way, programmers can concentrate on the actual problems they have to solve, rather than on the details of machines. But understanding the whole chain from languages to machines is still an essential part of the training of any serious programmer. It will result in a more competent programmer, who will moreover be able to develop new languages. A new language is often the best way to solve a problem, and less difficult than it may sound. This book follows a theory-based practical approach, where theoretical models serve as blueprint for actual coding. The reader is guided to build compilers and interpreters in a well-understood and scalable way. The solutions are moreover portable to different implementation languages. Much of the actual code is automatically generated from a grammar of the language, by using the BNF Converter tool. The rest can be written in Haskell or Java, for which the book gives detailed guidance, but with some adaptation also in C, C++, C#, or OCaml, which are supported by the BNF Converter. The main focus of the book is on standard imperative and functional languages: a subset of C++ and a subset of Haskell are the source languages, and Java Virtual Machine is the main target. Simple Intel x86 native code compilation is shown to complete the chain from language to machine. The last chapter leaves the standard paths and explores the space of language design ranging from minimal Turing-complete languages to human-computer interaction in natural language.
| Author | : Terence Parr |
| Publisher | : Pragmatic Bookshelf |
| Total Pages | : 456 |
| Release | : 2009-12-31 |
| Genre | : Computers |
| ISBN | : 168050374X |
Learn to build configuration file readers, data readers, model-driven code generators, source-to-source translators, source analyzers, and interpreters. You don't need a background in computer science--ANTLR creator Terence Parr demystifies language implementation by breaking it down into the most common design patterns. Pattern by pattern, you'll learn the key skills you need to implement your own computer languages. Knowing how to create domain-specific languages (DSLs) can give you a huge productivity boost. Instead of writing code in a general-purpose programming language, you can first build a custom language tailored to make you efficient in a particular domain. The key is understanding the common patterns found across language implementations. Language Design Patterns identifies and condenses the most common design patterns, providing sample implementations of each. The pattern implementations use Java, but the patterns themselves are completely general. Some of the implementations use the well-known ANTLR parser generator, so readers will find this book an excellent source of ANTLR examples as well. But this book will benefit anyone interested in implementing languages, regardless of their tool of choice. Other language implementation books focus on compilers, which you rarely need in your daily life. Instead, Language Design Patterns shows you patterns you can use for all kinds of language applications. You'll learn to create configuration file readers, data readers, model-driven code generators, source-to-source translators, source analyzers, and interpreters. Each chapter groups related design patterns and, in each pattern, you'll get hands-on experience by building a complete sample implementation. By the time you finish the book, you'll know how to solve most common language implementation problems.
| Author | : Peter Sestoft |
| Publisher | : Springer |
| Total Pages | : 347 |
| Release | : 2017-08-31 |
| Genre | : Computers |
| ISBN | : 3319607898 |
This book uses a functional programming language (F#) as a metalanguage to present all concepts and examples, and thus has an operational flavour, enabling practical experiments and exercises. It includes basic concepts such as abstract syntax, interpretation, stack machines, compilation, type checking, garbage collection, and real machine code. Also included are more advanced topics on polymorphic types, type inference using unification, co- and contravariant types, continuations, and backwards code generation with on-the-fly peephole optimization. This second edition includes two new chapters. One describes compilation and type checking of a full functional language, tying together the previous chapters. The other describes how to compile a C subset to real (x86) hardware, as a smooth extension of the previously presented compilers.The examples present several interpreters and compilers for toy languages, including compilers for a small but usable subset of C, abstract machines, a garbage collector, and ML-style polymorphic type inference. Each chapter has exercises. Programming Language Concepts covers practical construction of lexers and parsers, but not regular expressions, automata and grammars, which are well covered already. It discusses the design and technology of Java and C# to strengthen students’ understanding of these widely used languages.
| Author | : Michael O'Neill |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 157 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 1461504473 |
Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language provides the first comprehensive introduction to Grammatical Evolution, a novel approach to Genetic Programming that adopts principles from molecular biology in a simple and useful manner, coupled with the use of grammars to specify legal structures in a search. Grammatical Evolution's rich modularity gives a unique flexibility, making it possible to use alternative search strategies - whether evolutionary, deterministic or some other approach - and to even radically change its behavior by merely changing the grammar supplied. This approach to Genetic Programming represents a powerful new weapon in the Machine Learning toolkit that can be applied to a diverse set of problem domains.
| Author | : Douglas Thain |
| Publisher | : Lulu.com |
| Total Pages | : 248 |
| Release | : 2016-09-20 |
| Genre | : Computers |
| ISBN | : 0359138047 |
A compiler translates a program written in a high level language into a program written in a lower level language. For students of computer science, building a compiler from scratch is a rite of passage: a challenging and fun project that offers insight into many different aspects of computer science, some deeply theoretical, and others highly practical. This book offers a one semester introduction into compiler construction, enabling the reader to build a simple compiler that accepts a C-like language and translates it into working X86 or ARM assembly language. It is most suitable for undergraduate students who have some experience programming in C, and have taken courses in data structures and computer architecture.
| Author | : Kent D. Lee |
| Publisher | : Springer |
| Total Pages | : 365 |
| Release | : 2015-01-19 |
| Genre | : Computers |
| ISBN | : 3319133144 |
This clearly written textbook introduces the reader to the three styles of programming, examining object-oriented/imperative, functional, and logic programming. The focus of the text moves from highly prescriptive languages to very descriptive languages, demonstrating the many and varied ways in which we can think about programming. Designed for interactive learning both inside and outside of the classroom, each programming paradigm is highlighted through the implementation of a non-trivial programming language, demonstrating when each language may be appropriate for a given problem. Features: includes review questions and solved practice exercises, with supplementary code and support files available from an associated website; provides the foundations for understanding how the syntax of a language is formally defined by a grammar; examines assembly language programming using CoCo; introduces C++, Standard ML, and Prolog; describes the development of a type inference system for the language Small.
| Author | : Dick Grune |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 677 |
| Release | : 2007-10-29 |
| Genre | : Computers |
| ISBN | : 0387689540 |
This second edition of Grune and Jacobs’ brilliant work presents new developments and discoveries that have been made in the field. Parsing, also referred to as syntax analysis, has been and continues to be an essential part of computer science and linguistics. Parsing techniques have grown considerably in importance, both in computer science, ie. advanced compilers often use general CF parsers, and computational linguistics where such parsers are the only option. They are used in a variety of software products including Web browsers, interpreters in computer devices, and data compression programs; and they are used extensively in linguistics.
