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 …

Background: The recent advances in machine translation (MT) offer an appealing and low-
cost solution to overcome language barriers in multiple contexts (eg, travelling, cultural …

Machine translation systems are expected to cope with various types of constraints in many
practical scenarios. While neural machine translation (NMT) has achieved strong …

Abstract The WMT 2023 Terminology Shared Task investigates progress in machine
translation of texts with specialized vocabulary. The participants were given the source text …

Terminology correctness is important in the downstream application of machine translation,
and a prevalent way to ensure this is to inject terminology constraints into a translation …

Imposing constraints on machine translation systems presents a challenging issue because
these systems are not trained to make use of constraints in generating adequate, fluent …

Neural machine translation (NMT) systems often produce inadequate translations for named
entities. In this study, we conducted preliminary experiments to examine the factors affecting …

While machines learn from existing corpora, humans have the unique capability to establish
and accept new language systems. This makes human form unique language systems …

Incorporating terminology into a neural machine translation (NMT) system is a feature of
interest for many users of machine translation. In this case study of English-French …

Unlike general translation, constrained translation necessitates the proper use of predefined
restrictions, such as specific terminologies and entities, during the translation process …