This article presents the results of a study involving the translation of a fictional story from
English into Catalan in three modalities: machine-translated (MT), post-edited (MTPE) and …

In this chapter we build a machine translation (MT) system tailored to the literary domain,
specifically to novels, based on the state-of-the-art architecture in neural MT (NMT), the …

Despite constant improvements in machine translation quality, automatic poetry translation
remains a challenging problem due to the lack of open-sourced parallel poetic corpora, and …

The article presents a detailed comparative analysis of translations of twelve great Ukrainian
poet Ivan Franko's poems done by translator Percival Cundy and the GPT-3.5 AI language …

Several studies (covering many language pairs and translation tasks) have demonstrated
that translation quality has improved enormously since the emergence of neural machine …

Although machine translation systems are mostly designed to serve in the general domain,
there is a growing tendency to adapt these systems to other domains like literary translation …

With the rapid development of science and technology and big data, traditional translation
has been greatly tested in the era of big data. The translation ability requires to be endowed …

Following recent work on literary-adapted machine translation (MT) systems, this paper
investigates whether it is worthwhile building such a system for a reasonably well-resourced …

Despite the advances in the automation of translation processes, several discourses insist
that there is still a privileged status for the non-automated human, especially in idealized …

La traduction automatique neuronale et son adaptation à des domaines spécifiques par le
biais de corpus spécialisés ont permis à cette technologie d'intégrer bien plus largement …