Quality of experience of German machine translation and automatic text summarization

Authors: Shushen Manakhimova, Vivien Macketanz, Sebastian Möller

Abstract:

Quality of Experience measures the user’s subjective perception of an interaction with a system or product—a framework widely applied in media technology, We extend the application of Quality of Experience to machine-generated text, focusing on identifying and validating quality dimensions. We investigate two text-generation tasks: Machine Translation and Automatic Text Summarization. This work centers on empirical studies, leveraging human evaluation to quantify perceived quality dimensions for both text types.