Parsing Expression Grammar

Part 1 of ebook "Compiler design in C" presents the following content: basic concepts; representing computer languages; a recursive-descent expression compiler; input and lexical analysis; context-free grammars; top-down parsing; bottom-up parsing; sentences, phrases, and context-free grammars; ambiguous grammars; augmented grammars and table-driven parsers;...

462p dieptieuung 14-07-2023 9 5   Download

Part 1 of book "Compiler Construction" provide students with knowledge about: language and syntax; regular languages; analysis of context-free languages; attributed grammars and semantics; the programming language Oberon-0; a parser for Oberon-0; consideration of context specified by declarations; a RISC architecture as target; expressions and assignments;...

60p britaikridanik 05-07-2022 11 3   Download

Lecture Compiler construction: Lesson 12 - Sohail Aslam. The main topics covered in this chapter include: Parse trees, precedence and these two derivations point out a problem with the grammar, xreate a non-terminal for each level of precedence, isolate corresponding part of grammar,...

54p youzhangjing_1909 28-04-2022 12 1   Download

Lecture Compiler construction: Lesson 13 - Sohail Aslam. The main topics covered in this chapter include: parsing techniques, top-down parsers, bottom-up parsers, top-down parsing algorithm, expression grammar, left recursion, pick a production and try to match the input,...

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Lecture Compiler construction: Lesson 22 - Sohail Aslam. The main topics covered in this chapter include: expression grammar, handle-finding mechanism the key to effiecient bottom-up parsing, process an input string, the parser must find and track all potential handles,...

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Scientific names in biology act as universal links. They allow us to cross-reference information about organisms globally. However variations in spelling of scientific names greatly diminish their ability to interconnect data. Such variations may include abbreviations, annotations, misspellings, etc.

14p viflorida2711 30-10-2020 10 1   Download

Chapter 2 - Syntax. We shall see that most of the syntactic structure of modern programming languages is defined using a linguistic formalism called the contextjree grammm: Other elements of syntax are outside the realm of context-free grammars, and are defined by other means. A careful treatment of programming language syntax appears in Chapter 2. This chapter provides knowledge of grammars of syntax: backus-naur form, derivations, parse trees.

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A grammar can be used to define associativity and precedence among the operators in an expression. A grammar is ambiguous if one of its strings has two or more diffferent parse trees. Chapter 2b provides knowledge of grammars: Associativity and precedence, ambiguous grammars.

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W e are concerned with dependencyoriented morphosyntactic parsing of running text. While a parsing grammar should avoid introducing structurally unresolvable distinctions in order to optimise on the accuracy of the parser, it also is beneficial for the g r a m m a r i a n to have as expressive a structural representation available as possible.

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This paper introduces a special programming environment for the definition of grammars and for the implementation of corresponding parsers. In natural language processing systems it is advantageous to have linguistic knowledge and processing mechanisms separated. Our environment accepts grammars consisting of binary dependency relations and grammatical functions. Well-formed expressions of functions and relations provide constituent surroundings for syntactic categories in the form of two-way automata. ...

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The notion of mild context-sensitivity was formulated in an attempt to express the formal power which is both necessary and sufficient to define the syntax of natural languages. However, some linguistic phenomena such as Chinese numbers and German word scrambling lie beyond the realm of mildly contextsensitive formalisms. On the other hand, the class of range concatenation grammars provides added power w.r.t, mildly context-sensitive grammars while keeping a polynomial parse time behavior.

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Marcus [3] notes that the syntax of English comparative constructions is highly complex, and claims that both syntactic end semantic information must be available for them to be parsed. This paper argues that comparatives can be structurally analyzed on the basis of syntactic information alone via a s t r i c t l y surface-based grammar. Such a grammaris given in Ryan [5], based on the corepresentational model of Kac I l l . While the grammar does not define a parsing algorithm per se, i t nonetheless expresses regularities of surface organization and i t s...

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Yet important practical considerations do arise when writing programs to understand one aspect or another of natural language utterances. Where, for example, a theorist w i l l characterize a parsing strategy according to its space and/or time requirements in attempting to analyze the worst possible input acc3rding to ~n a r b i t r a r y grammar s t r i c t l y limited in expressive power, the researcher studying Natural Language Processing can be j u s t i f i e d in concerning himself more with issues of practical performance in...

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This paper compares a number of generative probability models for a widecoverage Combinatory Categorial Grammar (CCG) parser. These models are trained and tested on a corpus obtained by translating the Penn Treebank trees into CCG normal-form derivations. According to an evaluation of unlabeled word-word dependencies, our best model achieves a performance of 89.9%, comparable to the figures given by Collins (1999) for a linguistically less expressive grammar. In contrast to Gildea (2001), we find a significant improvement from modeling wordword dependencies. ...

8p bunmoc_1 20-04-2013 35 2   Download

The automatic extraction of relations between entities expressed in natural language text is an important problem for IR and text understanding. In this paper we show how different kernels for parse trees can be combined to improve the relation extraction quality. On a public benchmark dataset the combination of a kernel for phrase grammar parse trees and for dependency parse trees outperforms all known tree kernel approaches alone suggesting that both types of trees contain complementary information for relation extraction. ...

4p hongphan_1 15-04-2013 40 1   Download