LT TTT - A Flexible Tokenisation Tool

Claire Grover; Colin Matheson; Andrei Mikheev; Marc Moens

doi:10.1.1.43.4952

LT TTT - A Flexible Tokenisation Tool

Claire Grover, Colin Matheson, Andrei Mikheev, Marc Moens

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Abstract / Description of output

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 language	English
Title of host publication	Proceedings of the Second International Conference on Language Resources and Evaluation, LREC 2000, 31 May - June 2, 2000, Athens, Greece
Number of pages	8
DOIs	https://doi.org/10.1.1.43.4952
Publication status	Published - 2000

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Grover Matheson ET AL 2000 LT TTT - A Flexible Tokenisation ToolFinal published version, 56.6 KB

http://www.lrec-conf.org/proceedings/lrec2000/pdf/93.pdf

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@inproceedings{aaeaaf459e5a459185dfb068af984527,

title = "LT TTT - A Flexible Tokenisation Tool",

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.",

author = "Claire Grover and Colin Matheson and Andrei Mikheev and Marc Moens",

year = "2000",

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AU - Grover, Claire

AU - Matheson, Colin

AU - Mikheev, Andrei

AU - Moens, Marc

PY - 2000

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N2 - 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.

AB - 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.

U2 - 10.1.1.43.4952

DO - 10.1.1.43.4952

M3 - Conference contribution

BT - Proceedings of the Second International Conference on Language Resources and Evaluation, LREC 2000, 31 May - June 2, 2000, Athens, Greece

ER -

LT TTT - A Flexible Tokenisation Tool

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