Comparison of post-editing productivity between professional translators and lay users.
Nora Aranberri, Gorka Labaka, Arantza Díaz de Ilarraza, Kepa Sarasola · Conference of the Association for Machine Translation in the Americas · 2014
This work compares the post-editing productivity of professional translators and lay users. We integrate an English to Basque MT system within Bologna Translation Service, an end-to-end translation management platform, and perform a producitivity experiment in a real working environment. Six translators and six lay users translate or post-edit two texts from English into Basque. Results suggest that overall, post-editing increases translation throughput for both translators and users, although the latter seem to benefit more from the MT output. We observe that translators and users perceive MT differently. Additionally, a preliminary analysis seems to suggest that familiarity with the domain, source text complexity and MT quality might affect potential productivity gain.