In the tradition of Model Theoretic Syntax, we propose a logical approach to the description of grammars. We combine in one formalism several tools that are used throughout computer science for their power of abstraction: logic and lambda-calculus. We propose then a high-level formalism for describing mildly context sensitive grammars and their semantic interpretation. As we rely on the correspondence between logic and finite state automata, our method combines conciseness to effectivity. We illustrate our approach with a simple linguistic model of several interleaved linguistic phenomena involving extraction. The level of abstraction provided by logic and λ-calculus allows us not only to use this linguistic model for several languages, nam...
International audienceFor a large number of applications in Natural Language Processing (NLP) (e.g.,...
International audienceFor a large number of applications in Natural Language Processing (NLP) (e.g.,...
International audienceFor a large number of applications in Natural Language Processing (NLP) (e.g.,...
International audienceIn the tradition of Model Theoretic Syntax, we propose a logical approach to t...
International audienceThe question of the logical modelling of natural language is concerned with pr...
International audienceThe question of the logical modelling of natural language is concerned with pr...
International audienceThe question of the logical modelling of natural language is concerned with pr...
. New methods from meta-programming in logic makes it possible automatically to extract grammar rule...
We present Logical Description Grammar (LDG), a model of grammar and the syntax-semantics interface ...
Introduction. The article continues the series of publications on the linguistics of relations (here...
Model generation refers to the automatic generation of mathematical structures that prove the satisf...
Abstract. Formal syntax has hitherto worked mostly with theoretical frameworks that take grammars to...
This paper focuses on some relationships between logic and natural languages, a topic that is crucia...
The goal of computational linguistics is to provide a formal account linguistical knowledge, and to ...
International audienceFor a large number of applications in Natural Language Processing (NLP) (e.g.,...
International audienceFor a large number of applications in Natural Language Processing (NLP) (e.g.,...
International audienceFor a large number of applications in Natural Language Processing (NLP) (e.g.,...
International audienceFor a large number of applications in Natural Language Processing (NLP) (e.g.,...
International audienceIn the tradition of Model Theoretic Syntax, we propose a logical approach to t...
International audienceThe question of the logical modelling of natural language is concerned with pr...
International audienceThe question of the logical modelling of natural language is concerned with pr...
International audienceThe question of the logical modelling of natural language is concerned with pr...
. New methods from meta-programming in logic makes it possible automatically to extract grammar rule...
We present Logical Description Grammar (LDG), a model of grammar and the syntax-semantics interface ...
Introduction. The article continues the series of publications on the linguistics of relations (here...
Model generation refers to the automatic generation of mathematical structures that prove the satisf...
Abstract. Formal syntax has hitherto worked mostly with theoretical frameworks that take grammars to...
This paper focuses on some relationships between logic and natural languages, a topic that is crucia...
The goal of computational linguistics is to provide a formal account linguistical knowledge, and to ...
International audienceFor a large number of applications in Natural Language Processing (NLP) (e.g.,...
International audienceFor a large number of applications in Natural Language Processing (NLP) (e.g.,...
International audienceFor a large number of applications in Natural Language Processing (NLP) (e.g.,...
International audienceFor a large number of applications in Natural Language Processing (NLP) (e.g.,...