Machine translation (MT) outputs are widely scored using automatic evaluation metrics and
human evaluation scores. The automatic evaluation metrics are expected to be easily …

Traditional automatic evaluation metrics for machine translation have been widely criticized
by linguists due to their low accuracy, lack of transparency, focus on language mechanics …

Abstract Machine Translation Systems for under-resource languages encounter quality and
comprehension issues. Our research work focuses on the Statistical and Neural approaches …

Recent advancements in machine translation have made neural machine translation (NMT)
the preferred method over the previously popular statistical machine translation (SMT) …

Résumé This article aims at presenting the results of a case study carried out in
collaboration with the European Commission's Directorate General for Translation. This …

En el presente trabajo de fin de máster se muestra el proceso de creación de dos motores
de traducción automática inglés-español, uno estadístico y otro neuronal, especializados en …

In Switzerland, two thirds of the population speak Swiss German, a primarily spoken
language with no standardised written form. It is widely used on Swiss TV, for example in …

The rapid advancements in telecommunications over the past few decades have
revolutionized the way people exchange information. Thanks to these advancements, the …

Visibility and Presentation of goods for ease of buying and greater customer experience is
always a matter of great concern for supermarkets and malls. Smart Retail Rack Analytics, a …

As an official language in both Ireland and the European Union (EU), there is a high
demand for English-Irish (EN-GA) translation in public administration. The difficulty that …