| LREC 2000 2nd International Conference on Language Resources & Evaluation | |
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Conference Papers
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Papers by paper title: A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Papers by ID number: 1-50, 51-100, 101-150, 151-200, 201-250, 251-300, 301-350, 351-377. |
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| Title | LT TTT - A Flexible Tokenisation Tool |
| Authors |
Grover Claire (Language Technology Group University of Edinburgh, 2 Buccleuch Place Edinburgh EH8 9LW, Scotland, email: grover@cogsci.ed.ac.uk) Matheson Colin (Language Technology Group University of Edinburgh, 2 Buccleuch Place Edinburgh EH8 9LW, Scotland, email:colin@cogsci.ed.ac.uk) Mikheev Andrei (Language Technology Group University of Edinburgh, 2 Buccleuch Place Edinburgh EH8 9LW, Scotland, email:mikheev@cogsci.ed.ac.uk) Moens Marc (Language Technology Group University of Edinburgh, 2 Buccleuch Place Edinburgh EH8 9LW, Scotland, marcg@cogsci.ed.ac.uk) |
| Keywords | Corpus Preparation, Information Extraction, Named Entity Recognition, Tokenisation, XML Mark-Up |
| Session | Session WP6 - Tools in the Written Area |
| 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 |