Adapting a Web Application for Natural Language Processing to Odd Text Representation Formats
Bart Jongejan · Research at the University of Copenhagen (University of Copenhagen) · 2019
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.