This paper presents the results of the news translation task, the multilingual low-resource
translation for Indo-European languages, the triangular translation task, and the automatic …

In this paper, we describe a new national language technology programme for Icelandic.
The programme, which spans a period of five years, aims at making Icelandic usable in …

In this work, we introduce EMMA-500, a large-scale multilingual language model continue-
trained on texts across 546 languages designed for enhanced multilingual performance …

In this paper, we present results of employing multilingual and multi-way neural machine
translation approaches for morphologically rich languages, such as Estonian and Russian …

Reliably evaluating Machine Translation (MT) through automated metrics is a long-standing
problem. One of the main challenges is the fact that multiple outputs can be equally valid …

We present ParIce, a new English-Icelandic parallel corpus. This is the first parallel corpus
built for the purposes of language technology development and research for Icelandic …

This paper marks a significant step forward in language technology for low-resource
languages by developing the first parallel corpus for the Kashmiri language, which …

State-of-the-art machine translation (MT) systems rely on the availability of large parallel
corpora, containing millions of sentence pairs. For the Icelandic language, the parallel …

This thesis aims to study different language-specific approaches for Multilingual Machine
Translation without parameter sharing and their properties compared to the current state-of …

This paper describes Tilde's work on the development of a Neural Machine Translation
(NMT) platform for Hieronymus, a Switzerland-based boutique legal and financial translation …