Abstract Machine translation (MT) technology has facilitated our daily tasks by providing accessible shortcuts for gathering, processing, and communicating information. However, it can suffer from biases that harm users society at large. As a relatively new field of inquiry, studies gender bias in MT still lack cohesion. This advocates unified framework to ease future research. To this end, we:...

In one form or another language translation is a necessary part of cross-lingual information retrieval systems. Often times this is accomplished using machine translation systems. However, machine translation systems offer low quality for their high costs. This paper proposes a machine translation method that is low cost while improving translation quality. This is done by utilizing multiple we...

The importance of ICT usage implementation in the startup project is analyzed. It has been proved that translation great for any establishing relationships with potential clients around world. role translator investigated. Translation proven to be important build A comprehensive analysis projects from Ukrainian into English using latest information and communication technologies this process. P...

Machine Translation is one of the major oldest and the most active research area in Natural Language Processing. Currently, Statistical Machine Translation (SMT) dominates the Machine Translation research. Statistical Machine Translation is an approach to Machine Translation which uses models to learn translation patterns directly from data, and generalize them to translate a new unseen text. T...