While other books focus on special internet registers, like tweets or texting, no previous
study describes the full range of everyday registers found on the searchable web. These are …

Most previous linguistic investigations of the web have focused on special linguistic features
associated with Internet language (eg, the use of emoticons, abbreviations, contractions …

One major challenge for Web-As-Corpus research is that a typical Web search provides little
information about the register of the documents that are searched. Previous research has …

This paper introduces a project to develop a reliable, cost‐effective method for classifying
Internet texts into register categories, and apply that approach to the analysis of a large …

We present experiments in automatic genre classification on web corpora, comparing a wide
variety of features on several different genreannotated datasets (HGC, I-EN, KI-04, KRYS-I …

This article explores deep learning models for the automatic identification of registers-text
varieties such as news reports and discussion forums-in web-based datasets across 16 …

Most previous attempts at automatic genre identification have been based on corpus
samples that are relatively small and artificially restricted. In this study we set out to …

Abstract Automated Genre Identification (AGI) of web pages is a problem of increasing
importance since web genre (eg blog, news, e-shops, etc.) information can enhance modern …

The main aim of the experiments described in this chapter is to investigate ways of
assessing the robustness and stability of an Automatic Genre Identification (AGI) model for …

The ESRC-funded Centre for Corpus Approaches to Social Science at Lancaster University
(CASS) and the English Language Teaching Group at Cambridge University Press (CUP) …