Prolog and natural-language analysis

Prolog and Natural-Language Analysis

Advantages of ACT-R over Prolog for Natural Language Analysis

This paper discusses the advantages of using the ACT-R cognitive architecture over the Prolog programming language for the research and development of a large-scale, functional, cognitively motivated model of natural language analysis. Although Prolog was developed for Natural Language Processing (NLP), it lacks any probabilistic mechanisms for dealing with ambiguity and relies on failure detec...

BusTUC-A natural language bus route adviser in Prolog

A natural language interface to a computer database provides users with the capability of obtaining information stored in the database by querying the system in a natural language (NL). With natural language as a means of communication with a computer system, the users can make a question or a statement in the way they normally think about the information being discussed, freeing them from havi...

Natural Language Concept Analysis

Can we do text analysis without phrase structure? We think the answer could be positive. In this paper we outline the basics of an underlying theory which yields hierarchical structure as the result of more abstract principles relating to the combinatorial properties of linguistic units. We discuss the nature of these properties and illustrate our model with examples.

Robust Natural Language Analysis

Our basic goal is the development of more robust systems for extracting information from natural language text. A robust system is one which is able to extract at least partial information despite the presence of ill-formed or unexpected syntactic, semantic, or discourse structures. Our approach has two aspects: First, we incorporate a rich set of syntactic, semantic, and discourse constraints,...