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A large-scale comparison of historical text normalization systems
M Bollmann - ar** the inflected forms of a word together so they can be analysed as a single item …
LL (O) D and NLP perspectives on semantic change for Humanities research
This paper presents an overview of the LL (O) D and NLP methods, tools and data for
detecting and representing semantic change, with its main application in humanities …
detecting and representing semantic change, with its main application in humanities …
Modernising historical Slovene words
We propose a language-independent word normalisation method and exemplify it on
modernising historical Slovene words. Our method relies on character-level statistical …
modernising historical Slovene words. Our method relies on character-level statistical …
[PDF][PDF] Integrated sequence tagging for medieval Latin using deep representation learning
M Kestemont, J De Gussem - Journal of Data Mining & …, 2017 - jdmdh.episciences.org
In this paper we consider two sequence tagging tasks for medieval Latin: part-of-speech
tagging and lemmatization. These are both basic, yet foundational preprocessing steps in …
tagging and lemmatization. These are both basic, yet foundational preprocessing steps in …
[PDF][PDF] From old texts to modern spellings: an experiment in automatic normalisation
I Hendrickx, R Marquilhas - Journal for Language Technology and …, 2011 - jlcl.org
We aim to tackle the problem of spelling variations in a corpus of personal Portugese letters
from the 16th to the 20th century. We investigated the extent to which the task of normalising …
from the 16th to the 20th century. We investigated the extent to which the task of normalising …