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Adapting a Web Application for Natural Language Processing to Odd Text Representation Formats

Authors:
Bart Jongejan

Keywords: Natural Language Processing; NLP workflows; digital edition; medieval diplomas

Abstract:
Users of Natural Language Processing (NLP) are best helped if that technology has a low threshold. Therefore, there is a niche for NLP infrastructures that can adapt to the notations used in scholarly projects, instead of requiring that projects adapt to the notation prescribed by a particular NLP infrastructure. The Text Tonsorium is a web application that fits in that niche, because it is not married to any notation and therefore can integrate tools that are tailored to the needs and notations of projects. There are no costs involved related to manually modelling project specific tools into workflow templates, since the Text Tonsorium automatically computes those templates.

Pages: 97 to 102

Copyright: Copyright (c) IARIA, 2019

Publication date: May 5, 2019

Published in: conference

ISSN: 2308-4146

ISBN: 978-1-61208-706-1

Location: Venice, Italy

Dates: from May 5, 2019 to May 9, 2019