8 citations · 14 across the 4 of their papers we have counts for
7 papers
From exemplar to copy: the scribal appropriation of a Hadewijch manuscript computationally explored
Wouter Haverals, Mike Kestemont
This study is devoted to two of the oldest known manuscripts in which the oeuvre of the medieval mystical author Hadewijch has been preserved: Brussels, KBR, 2879-2880 (ms. A) and…
Character-level Transformer-based Neural Machine Translation
Nikolay Banar, Walter Daelemans, Mike Kestemont
Neural machine translation (NMT) is nowadays commonly applied at the subword level, using byte-pair encoding. A promising alternative approach focuses on character-level translatio…
On the Transferability of Winning Tickets in Non-Natural Image Datasets
Matthia Sabatelli, Mike Kestemont, Pierre Geurts
We study the generalization properties of pruned neural networks that are the winners of the lottery ticket hypothesis on datasets of natural images. We analyse their potential und…
On the Feasibility of Automated Detection of Allusive Text Reuse
Enrique Manjavacas, Brian Long, Mike Kestemont
The detection of allusive text reuse is particularly challenging due to the sparse evidence on which allusive references rely---commonly based on none or very few shared words. Arg…
Improving Lemmatization of Non-Standard Languages with Joint Learning
Enrique Manjavacas, Ákos Kádár, Mike Kestemont
Lemmatization of standard languages is concerned with (i) abstracting over morphological differences and (ii) resolving token-lemma ambiguities of inflected words in order to map t…
Assessing the Stylistic Properties of Neurally Generated Text in Authorship Attribution
E. Manjavacas, J. de Gussem, W. Daelemans +1
Recent applications of neural language models have led to an increased interest in the automatic generation of natural language. However impressive, the evaluation of neurally gene…
Integrated Sequence Tagging for Medieval Latin Using Deep Representation Learning
Mike Kestemont, Jeroen De Gussem
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 app…