LT TTT - A Flexible Tokenisation Tool

Claire Grover, Colin Matheson, Andrei Mikheev, Marc Moens

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We describe LT TTT, a recently developed software system which provides tools to perform text tokenisation and mark-up. The system includes ready-made components to segment text into paragraphs, sentences, words and other kinds of token but, crucially, it also allows users to tailor rule-sets to produce mark-up appropriate for particular applications. We present three case studies of our use of LT TTT: named-entity recognition (MUC-7), citation recognition and mark-up and the preparation of a corpus in the medical domain. We conclude with a discussion of the use of browsers to visualise marked-up text.
Original languageEnglish
Title of host publicationProceedings of the Second International Conference on Language Resources and Evaluation, LREC 2000, 31 May - June 2, 2000, Athens, Greece
Number of pages8
DOIs
Publication statusPublished - 2000

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