3 citations · 4 across the 2 of their papers we have counts for
4 papers · 1 filter
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 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…