Add to ORKGThis paper reports on the LEARNING COMPUTATIONAL GRAMMARS (LCG) project, a postdoc network devoted to studying the application of machine learning techniques to grammars suitable for computational use. We were interested in a more systematic survey to understand the relevance of many factors to the success of learning, esp. the availability of annotated data, the kind of dependencies in the data, and the availability of knowledge bases (grammars). We focused on syntax, esp. noun phrase (NP) syntax.
Computational linguistics (CL) is an interdisciplinary mix of computer science and linguistics with ...
The straightforward mapping of a grammar onto a connectionist architecture is to make each grammar s...
Grammar induction refers to the process of learning grammars and languages from data; this finds a v...
This paper reports on the LEARNING COMPUTATIONAL GRAMMARS (LCG) project, a postdoc network devoted t...
This paper reports on the LEARNING COMPUTATIONAL GRAMMARS (LCG) project, a postdoc network devoted t...
This thesis describes work in three areas: grammar engineering, computer-assisted language learning ...
This thesis describes work in three areas: grammar engineering, computer-assisted language learning ...
This study systematically reviews existing approaches to unsupervised grammar induction in terms of ...
The purpose of this work is to investigate the process of grammatical acquisition from data. We are ...
Abstract. In this paper, we propose a new framework for the computational learning of formal grammar...
This work investigates a computational model of first language acquisition; the Categorical Grammar ...
This work investigates a computational model of first language acquisition; the Categorial Grammar L...
We discuss the relevance of HPSG for computational linguistics, and the relevance of computational l...
This paper deals with a novel application of Knowledge-based Artificial Neural Networks (KBANN) to t...
This book focuses on grammatical inference, presenting classic and modern methods of grammatical inf...
Computational linguistics (CL) is an interdisciplinary mix of computer science and linguistics with ...
The straightforward mapping of a grammar onto a connectionist architecture is to make each grammar s...
Grammar induction refers to the process of learning grammars and languages from data; this finds a v...
This paper reports on the LEARNING COMPUTATIONAL GRAMMARS (LCG) project, a postdoc network devoted t...
This paper reports on the LEARNING COMPUTATIONAL GRAMMARS (LCG) project, a postdoc network devoted t...
This thesis describes work in three areas: grammar engineering, computer-assisted language learning ...
This thesis describes work in three areas: grammar engineering, computer-assisted language learning ...
This study systematically reviews existing approaches to unsupervised grammar induction in terms of ...
The purpose of this work is to investigate the process of grammatical acquisition from data. We are ...
Abstract. In this paper, we propose a new framework for the computational learning of formal grammar...
This work investigates a computational model of first language acquisition; the Categorical Grammar ...
This work investigates a computational model of first language acquisition; the Categorial Grammar L...
We discuss the relevance of HPSG for computational linguistics, and the relevance of computational l...
This paper deals with a novel application of Knowledge-based Artificial Neural Networks (KBANN) to t...
This book focuses on grammatical inference, presenting classic and modern methods of grammatical inf...
Computational linguistics (CL) is an interdisciplinary mix of computer science and linguistics with ...
The straightforward mapping of a grammar onto a connectionist architecture is to make each grammar s...
Grammar induction refers to the process of learning grammars and languages from data; this finds a v...