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Firstly, it is a challenging task to accumulate the required information from the text based resources as these are fragmented and incoherent sources of information.
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As a result, it gives rise a major interdisciplinary challenge to create a spatial representation of past territory of cities from text based historical resources (Piatti and Hurni 2007; Knowels 2008).
In particular, for each resource, we pair it with the resource that immediately follows it in text (based on mention offsets, ignoring non-resource mentions), aiming also to infer the directionality within each pair.
Though accessed online, most of these resources are text based.
The study of geography by extracting the places from text based documents, records or any other historical resources is not a new phenomenon but has been continued for a long time (Sharp 1904; Woolf 1977).
IStat – a statistical tool that creates bilingual lexical resources from the source and target text, based on co-occurrence measures.
Georeferencing the text based information.
Also, the Strat-o-matic game is largely text based.
The model uses text mining to automatically classify DPCs (Deviation Pattern Components) from unstructured text based cases.
It's text based.
I really hate text based art. .
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com