most citedFine-grained evaluation of German-English Machine Translation based on a Test Suite

15 citations · 38 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL2020

Fine-grained linguistic evaluation for state-of-the-art Machine Translation

Eleftherios Avramidis, Vivien Macketanz, Ursula Strohriegel +2

This paper describes a test suite submission providing detailed statistics of linguistic performance for the state-of-the-art German-English systems of the Fifth Conference of Mach…

cs.CL20199 cited

Fine-grained evaluation of Quality Estimation for Machine translation based on a linguistically-motivated Test Suite

Avramidis Eleftherios, Vivien Macketanz, Arle Lommel +1

We present an alternative method of evaluating Quality Estimation systems, which is based on a linguistically-motivated Test Suite. We create a test-set consisting of 14 linguistic…

cs.CL201915 cited

Fine-grained evaluation of German-English Machine Translation based on a Test Suite

Vivien Macketanz, Eleftherios Avramidis, Aljoscha Burchardt +1

We present an analysis of 16 state-of-the-art MT systems on German-English based on a linguistically-motivated test suite. The test suite has been devised manually by a team of lan…

cs.CL201914 cited

Linguistic evaluation of German-English Machine Translation using a Test Suite

Eleftherios Avramidis, Vivien Macketanz, Ursula Strohriegel +1

We present the results of the application of a grammatical test suite for GermanEnglish MT on the systems submitted at WMT19, with a detailed analysis for 107 phenomen…

cs.CL2019

Train, Sort, Explain: Learning to Diagnose Translation Models

Robert Schwarzenberg, David Harbecke, Vivien Macketanz +2

Evaluating translation models is a trade-off between effort and detail. On the one end of the spectrum there are automatic count-based methods such as BLEU, on the other end lingui…