The purpose of this paper is to define the framework within which empirical investigations of probabilistic grammars can take place and to sketch how this attack can be made. The full presentation of empirical results will be left to other papers. In the detailed empirical work, the author has depended on the collaboration of E. Gammon and A. Moskowitz, and draws on joint work for examples in subsequent sections. Section II presents a simple example of a probabilistic grammar to illustrate the methodology without complications. Section III indicates how such ideas may be applied to the spoken speech of a young child. Because of the difficulties and complexities of working with actual speech, the fourth section illustrates some of the result...
Accounts of language acquisition differ significantly in their treatment of the role of prediction i...
The purpose of this paper is to briefly examine two proposed extensions of statistical/probabilistic...
[18]. Section 1 provides the proofs of the theorems in Section 3 of the paper. Section 2 gives more ...
Probabilistic grammars define a set of well-formed or grammatical linguistic structures, just as all...
Building models of language is a central task in natural language processing. Traditionally, languag...
The use of language is one of the defining features of human cognition. Focusing here on two key fea...
The notion of language as probabilistic is well known within Systemic Functional Linguistics. Aspect...
This chapter discusses three kinds of linguistic knowledge that pose a challenge to experience-based...
This paper shows how to define probability distributions over linguistically realistic syntactic str...
A mathematical formulation of probabilistic grammars, as well as the random languages generated by p...
Recent computational research on natural language corpora has revealed that relatively simple statis...
There is much debate over the degree to which language learning is governed by innate language-speci...
It is quite natural to assign probabilities (or frequencies) to the sentences of a language to try t...
There is much debate over the degree to which language learning is governed by innate language-speci...
International audienceThe present paper explores the issue of corpus prosodic parsing in terms of pr...
Accounts of language acquisition differ significantly in their treatment of the role of prediction i...
The purpose of this paper is to briefly examine two proposed extensions of statistical/probabilistic...
[18]. Section 1 provides the proofs of the theorems in Section 3 of the paper. Section 2 gives more ...
Probabilistic grammars define a set of well-formed or grammatical linguistic structures, just as all...
Building models of language is a central task in natural language processing. Traditionally, languag...
The use of language is one of the defining features of human cognition. Focusing here on two key fea...
The notion of language as probabilistic is well known within Systemic Functional Linguistics. Aspect...
This chapter discusses three kinds of linguistic knowledge that pose a challenge to experience-based...
This paper shows how to define probability distributions over linguistically realistic syntactic str...
A mathematical formulation of probabilistic grammars, as well as the random languages generated by p...
Recent computational research on natural language corpora has revealed that relatively simple statis...
There is much debate over the degree to which language learning is governed by innate language-speci...
It is quite natural to assign probabilities (or frequencies) to the sentences of a language to try t...
There is much debate over the degree to which language learning is governed by innate language-speci...
International audienceThe present paper explores the issue of corpus prosodic parsing in terms of pr...
Accounts of language acquisition differ significantly in their treatment of the role of prediction i...
The purpose of this paper is to briefly examine two proposed extensions of statistical/probabilistic...
[18]. Section 1 provides the proofs of the theorems in Section 3 of the paper. Section 2 gives more ...