The Context-Free backbone of some natural language ana-lyzers produces all possible CF parses as some kind of shared forest, from which a single tree is to be chosen by a disam-biguation process that may be based on the finer features of the language. We study the structure of these forests with respect to optimality of sharing, and in relation with the parsing schema used to produce them. In addition to a theo-retical and experimental framework for studying these issues, the main results presented are: – sophistication in chart parsing schemata (e.g. use of look-ahead) may reduce time and space efficiency instead of improving it, – there is a shared forest structure with at most cubic size for any CF grammar, – when O(n3) complexity is req...
International audienceThis paper describes and compares two algorithms that take as input a shared P...
In this paper we propose and evaluate a method for locating causes of ambiguity in context-free gram...
In this paper we propose and evaluate a method for locating causes of ambiguity in context-free gram...
At the outbreak, interest in non-deterministic parsing was due to the fact that it is the context fr...
The work presented here attempts to bring out some fundamental concepts that underlie some known par...
A parse forest is a space-efficient representation of a number of parse trees. Parse forests are pro...
SIGLECNRS 14802 E / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc
We discuss the computation of parse forests, i.e., compact representations of all syntax trees for a...
We describe a new algorithm for table-driven parsing with context-free grammars designed to support ...
SPPF (shared packed parse forest) is the best known graph representation of a parse forest (family o...
The paper describes a system which uses packed parser output directly to build semantic representati...
We describe a new algorithm for table-driven parsing with context-free grammars designed to support ...
this paper, we will focus on the problem of efficiently maintaining syntactic ambiguity while determ...
The recovery of structure from flat sequences of input data is a problem that almost all programs ne...
This paper presents empirical studies and closely corresponding theoretical models of the performanc...
International audienceThis paper describes and compares two algorithms that take as input a shared P...
In this paper we propose and evaluate a method for locating causes of ambiguity in context-free gram...
In this paper we propose and evaluate a method for locating causes of ambiguity in context-free gram...
At the outbreak, interest in non-deterministic parsing was due to the fact that it is the context fr...
The work presented here attempts to bring out some fundamental concepts that underlie some known par...
A parse forest is a space-efficient representation of a number of parse trees. Parse forests are pro...
SIGLECNRS 14802 E / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc
We discuss the computation of parse forests, i.e., compact representations of all syntax trees for a...
We describe a new algorithm for table-driven parsing with context-free grammars designed to support ...
SPPF (shared packed parse forest) is the best known graph representation of a parse forest (family o...
The paper describes a system which uses packed parser output directly to build semantic representati...
We describe a new algorithm for table-driven parsing with context-free grammars designed to support ...
this paper, we will focus on the problem of efficiently maintaining syntactic ambiguity while determ...
The recovery of structure from flat sequences of input data is a problem that almost all programs ne...
This paper presents empirical studies and closely corresponding theoretical models of the performanc...
International audienceThis paper describes and compares two algorithms that take as input a shared P...
In this paper we propose and evaluate a method for locating causes of ambiguity in context-free gram...
In this paper we propose and evaluate a method for locating causes of ambiguity in context-free gram...