Cindy Tscherwinka


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The tara corpus of human-annotated machine translations
Eleftherios Avramidis | Aljoscha Burchardt | Sabine Hunsicker | Maja Popović | Cindy Tscherwinka | David Vilar | Hans Uszkoreit
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

Human translators are the key to evaluating machine translation (MT) quality and also to addressing the so far unanswered question when and how to use MT in professional translation workflows. This paper describes the corpus developed as a result of a detailed large scale human evaluation consisting of three tightly connected tasks: ranking, error classification and post-editing.


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Involving Language Professionals in the Evaluation of Machine Translation
Eleftherios Avramidis | Aljoscha Burchardt | Christian Federmann | Maja Popović | Cindy Tscherwinka | David Vilar
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

Significant breakthroughs in machine translation only seem possible if human translators are taken into the loop. While automatic evaluation and scoring mechanisms such as BLEU have enabled the fast development of systems, it is not clear how systems can meet real-world (quality) requirements in industrial translation scenarios today. The taraXÜ project paves the way for wide usage of hybrid machine translation outputs through various feedback loops in system development. In a consortium of research and industry partners, the project integrates human translators into the development process for rating and post-editing of machine translation outputs thus collecting feedback for possible improvements.