7 citations · 7 across the 4 of their papers we have counts for
4 papers · 1 filter
Using ChatGPT as a CAT tool in Easy Language translation
Silvana Deilen, Sergio Hernández Garrido, Ekaterina Lapshinova-Koltunski +1
This study sets out to investigate the feasibility of using ChatGPT to translate citizen-oriented administrative texts into German Easy Language, a simplified, controlled language…
Pragmatic information in translation: a corpus-based study of tense and mood in English and German
Anita Ramm, Ekaterina Lapshinova-Koltunski, Alexander Fraser
Grammatical tense and mood are important linguistic phenomena to consider in natural language processing (NLP) research. We consider the correspondence between English and German t…
Analysing Coreference in Transformer Outputs
Ekaterina Lapshinova-Koltunski, Cristina España-Bonet, Josef van Genabith
We analyse coreference phenomena in three neural machine translation systems trained with different data settings with or without access to explicit intra- and cross-sentential ana…
Linguistic Features of Genre and Method Variation in Translation: A Computational Perspective
Ekaterina Lapshninova-Koltunski, Marcos Zampieri
In this paper we describe the use of text classification methods to investigate genre and method variation in an English - German translation corpus. For this purpose we use lingui…