Translution logo



All documents are in Adobe PDF format. You will need a copy of Adobe Acrobat Reader installed. If you don't have this already, please click on the button to the right to visit Adobe's website and download a free copy.

Leeds University Machine Translation Engine Evaluation

We asked the Centre of Translation Studies, University of Leeds to undertake a comparative evaluation of 6 machine translation systems, including a statistical MT engine. Based on their results we chose Systran as the best machine translation system for general purpose. Read the results here..

Is MT fit for purpose?

A Comparative Evaluation of Two Machine Translation Systems

We evaluated the French-to-English versions of two rules based machine translation (MT) systems (referred to as s01 and s02 in this document) in order to assess the quality of their output and to determine whether updating the system dictionaries brought about an improvement in performance. It did...