GATE -- an Environment to Support Research and Development in Natural Language Engineering

We describe a software environment to support research and development in natural language (NL) engineering. This environment -- GATE (General Architecture for Text Engineering) -- aims to advance research in the area of machine processing of natural languages by providing a software infrastructure on top of which heterogeneous NL component modules may be evaluated and refined individually or may be combined into larger application systems. Thus, GATE aims to support both researchers and developers working on component technologies (e.g. parsing, tagging, morphological analysis) and those working on developing end-user applications (e.g. information extraction, text summarisation, document generation, machine translation, and second language learning). GATE will promote reuse of component technology, permit specialisation and collaboration in large-scale projects, and allow for the comparison and evaluation of alternative technologies. The first release of GATE is now available

Active paper for active learning

Recent research into distance learning and the virtual campus has focused on the use of electronic documents and computer‐based demonstrations to replace or reinforce traditional learning material. We show how a computer‐augmented desk, the DigitalDesk, can provide the benefits of both paper and electronic documents using a natural interface based on real paper documents. Many electronic documents, particularly those created using the guidelines produced by the Text Encoding Initiative (TEI), include detailed semantic and linguistic information that can be used to good effect in learning material. We discuss potential uses of TEI texts, and describe one simple application that allows a student's book to become an active part of a grammar lesson when placed on the DigitalDesk. The book is integrated into an interactive point‐and‐click interface, and feedback is related to the currently visible pages of the boo

SGML-based publishing

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The Semantic Web: Apotheosis of annotation, but what are its semantics?

This article discusses what kind of entity the proposed Semantic Web (SW) is, principally by reference to the relationship of natural language structure to knowledge representation (KR). There are three distinct views on this issue. The first is that the SW is basically a renaming of the traditional AI KR task, with all its problems and challenges. The second view is that the SW will be, at a minimum, the World Wide Web with its constituent documents annotated so as to yield their content, or meaning structure, more directly. This view makes natural language processing central as the procedural bridge from texts to KR, usually via some form of automated information extraction. The third view is that the SW is about trusted databases as the foundation of a system of Web processes and services. There's also a fourth view, which is much more difficult to define and discuss: If the SW just keeps moving as an engineering development and is lucky, then real problems won't arise. This article is part of a special issue called Semantic Web Update