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Found 6 papers, 3 papers with code
Literary translation as a three-stage process: machine translation, post-editing and revision
This study focuses on English-Dutch literary translations that were created in a professional environment using an MT-enhanced workflow consisting of a three-stage process of automatic translation followed by post-editing and (mainly) monolingual revision.
LeConTra: A Learner Corpus of English-to-Dutch News Translation
Because we also collected translation process data in the form of keystroke logging, our dataset can be used as part of different research strands such as translation process research, learner corpus research, and corpus-based translation studies.
Language Resources for Dutch Large Language Modelling
Despite the rapid expansion of types of large language models, there remains a notable gap in models specifically designed for the Dutch language.
Towards a Better Integration of Fuzzy Matches in Neural Machine Translation through Data Augmentation
We identify a number of aspects that can boost the performance of Neural Fuzzy Repair (NFR), an easy-to-implement method to integrate translation memory matches and neural machine translation (NMT).
LT3 at SemEval-2020 Task 7: Comparing Feature-Based and Transformer-Based Approaches to Detect Funny Headlines
This paper presents two different systems for the SemEval shared task 7 on Assessing Humor in Edited News Headlines, sub-task 1, where the aim was to estimate the intensity of humor generated in edited headlines.
