In this paper, we present our recent results on the acquistion of the syntax of natural languages, from the point of view of the theory of grammatical inference. Given a class of possible grammars, the objective is to identify, from a set of positive examples, a grammar in the class which produces the examples. The Gold model formalises the learning process and gives stringent criteria of its success: when does there exist an algorithm producing a target grammar ? what kind of structure should the examples have (strings of words, strings of tagged words, trees) ? From a theoretical point of view, our results establish the learnability or the unlearnability of various classes of categorial grammars. From a practical perspective, these result...
This paper presents a brief summary of the major work relevant to formal and computational approache...
National audienceIn this theoretical paper, we compare the "classical" learning techniques used to i...
International audienceThis paper focuses on a subfield of machine learning, the so- called grammatica...
In this paper, we present our recent results on the acquistion of the syntax of natural languages, f...
In this paper, we present our recent results on the acquistion of the syntax of natural languages, f...
In this paper, we present our recent results on the acquistion of the syntax of natural languages, f...
In this paper, we present our recent results on the acquistion of the syntax of natural languages, f...
In this paper, we present our recent results on the acquistion of the syntax of natural languages, f...
In this paper, we present our recent results on the acquistion of the syntax of natural languages, f...
In this paper, we present our recent results on the acquistion of the syntax of natural languages, f...
Grammatical inference consists in discovering the rules governing how sentences of a language are fo...
In this paper, we present our recent results on the acquistion of the syntax of natural languages, f...
: In this paper, we propose a unified framework for the syntactico-semantic learning of natural lan...
This work investigates a computational model of first language acquisition; the Categorical Grammar ...
National audienceIn this theoretical paper, we compare the "classical" learning techniques used to i...
This paper presents a brief summary of the major work relevant to formal and computational approache...
National audienceIn this theoretical paper, we compare the "classical" learning techniques used to i...
International audienceThis paper focuses on a subfield of machine learning, the so- called grammatica...
In this paper, we present our recent results on the acquistion of the syntax of natural languages, f...
In this paper, we present our recent results on the acquistion of the syntax of natural languages, f...
In this paper, we present our recent results on the acquistion of the syntax of natural languages, f...
In this paper, we present our recent results on the acquistion of the syntax of natural languages, f...
In this paper, we present our recent results on the acquistion of the syntax of natural languages, f...
In this paper, we present our recent results on the acquistion of the syntax of natural languages, f...
In this paper, we present our recent results on the acquistion of the syntax of natural languages, f...
Grammatical inference consists in discovering the rules governing how sentences of a language are fo...
In this paper, we present our recent results on the acquistion of the syntax of natural languages, f...
: In this paper, we propose a unified framework for the syntactico-semantic learning of natural lan...
This work investigates a computational model of first language acquisition; the Categorical Grammar ...
National audienceIn this theoretical paper, we compare the "classical" learning techniques used to i...
This paper presents a brief summary of the major work relevant to formal and computational approache...
National audienceIn this theoretical paper, we compare the "classical" learning techniques used to i...
International audienceThis paper focuses on a subfield of machine learning, the so- called grammatica...