Neural machine translation (MT) can facilitate communication in a way that surpasses
previous MT paradigms, but there are also consequences of its use. As with the …

Digital labour platforms, encompassing on-demand translation work via apps and websites,
have grown exponentially in recent years and have significant consequences for translation …

This report re-evaluates the literature about surveillance/monitoring in the standard
workplace, in home working during the COVID 19 pandemic and in respect of digital …

This paper presents a user study with 15 professional translators in the English-Spanish
combination. We present the concept of Machine Translation User Experience (MTUX) and …

The advent of AI-supported, cloud-based collaborative translation platforms has enabled a
new form of online collaborative translation–'concurrent translation'(CT). CT refers to …

This chapter focuses on ethical concerns experienced by different stakeholders in the
translation industry at various levels in translation production. These stakeholders' …

Rate-setting is a problematic area for newcomers to translation and established practitioners
alike. Survey data generally support the view that translators feel underpaid and that money …

This article studies the effects of automating a job allocation system, in a translation
company of approximately 130 employees. Perceptions of the effects of automation on roles …

This paper critically discusses how crowdsourcing relate to the emergence of the so-called
translation augmentation paradigm. As a broad generalization, these two technology-driven …

El presente artículo analiza el papel de las traductoras en una industria que evoluciona
rápidamente por la digitalización y la automatización, y sugiere las habilidades y …