Introduction

"The availability of large text corpora has changed the scientific approach to language in linguistics and cognitive science" [M&S]. Today, the by far richest source for authentic natural language data is the World Wide Web, and making it useful as a data source for scientific research is imperative.

Web pages, however, can not be used for computational linguistic processing without filtering: They contain code for processing by the Web browser, there are menus, headers, footers, form fields, teasers, out-links, spam-text - all of which needs to be stripped.

The dimension of this task calls for an automated solution, the broadness of the problem for machine learning based approaches. Part of the KrdWrd project deals with the development of appropriate methods, but they require hand-annotated pages for training.

The KrdWrd Add-on aims at making this kind of tagging of Web pages possible. For users, we provide accurate Web page presentation and annotation utilities in a typical browsing environment, while preserving the original document and all the additional information contained therein.