Earley parser is a well-known parsing method used to analyse context-free grammars. While being less efficient in practical contexts than other generalized context-free parsing algo- rithms, such as GLR, it is also more general. As such it can be used as a foundation to build more complex parsing algorithms. We present a new, virtual machine based approach to parsing, heavily based on the original Earley parser. We show how to translate grammars into virtual machine instruction sequences that are then used by the parsing algorithm. Additionally, we introduce an optimization that merges shared rule prefixes to increase parsing performance. Finally, we present and evaluate an implementation of Scannerless Earley Virtual Machine called north
AbstractA new general context-free parsing algorithm is presented which runs in linear time and spac...
International audienceThis article is a study of an algorithm designed and implemented by Emmanuel R...
Parsing efficiency is crucial when building practical natural language systems. This paper introduce...
Reflectively extensible programming languages are programming languages, whose syntax (and/or semant...
Reflectively extensible programming languages are programming languages, whose syntax (and/or semant...
AbstractWe present a new variant of the Earley parsing algorithm capable of efficiently supporting c...
Abstract We present a new variant of the Earley parsing algorithm capable of efficiently supporting ...
Earley’s parsing algorithm is a general algorithm, able to handle any context-free grammar. As with ...
Most parser generators are programs that take a context-free grammar specification for a language an...
We present the LATE algorithm, an asynchronous variant of the Earley algorithm for parsing context-f...
Parsers for context-free grammars can be implemented directly and naturally in a functional style kn...
A parsing algorithm equivalent to the one of Earley is described. It is more efficient both in execu...
Parsing is the process of assigning structure to sentences. The structure is obtained from the gramm...
Parsing Expression Grammar (PEG) is a recognition-based foundation for describing syntax that renewe...
The paper presents an efficiently parallel parsing algorithm for arbitrary contextfree grammars. Thi...
AbstractA new general context-free parsing algorithm is presented which runs in linear time and spac...
International audienceThis article is a study of an algorithm designed and implemented by Emmanuel R...
Parsing efficiency is crucial when building practical natural language systems. This paper introduce...
Reflectively extensible programming languages are programming languages, whose syntax (and/or semant...
Reflectively extensible programming languages are programming languages, whose syntax (and/or semant...
AbstractWe present a new variant of the Earley parsing algorithm capable of efficiently supporting c...
Abstract We present a new variant of the Earley parsing algorithm capable of efficiently supporting ...
Earley’s parsing algorithm is a general algorithm, able to handle any context-free grammar. As with ...
Most parser generators are programs that take a context-free grammar specification for a language an...
We present the LATE algorithm, an asynchronous variant of the Earley algorithm for parsing context-f...
Parsers for context-free grammars can be implemented directly and naturally in a functional style kn...
A parsing algorithm equivalent to the one of Earley is described. It is more efficient both in execu...
Parsing is the process of assigning structure to sentences. The structure is obtained from the gramm...
Parsing Expression Grammar (PEG) is a recognition-based foundation for describing syntax that renewe...
The paper presents an efficiently parallel parsing algorithm for arbitrary contextfree grammars. Thi...
AbstractA new general context-free parsing algorithm is presented which runs in linear time and spac...
International audienceThis article is a study of an algorithm designed and implemented by Emmanuel R...
Parsing efficiency is crucial when building practical natural language systems. This paper introduce...