MT@BZ annotation guidelines v1.0

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Chiocchetti, Elena and De Camillis, Flavia, 2022, MT@BZ annotation guidelines v1.0, CLARIN DSpace, http://hdl.handle.net/20.500.12124/62
Date issued
2022-05-31
Size
28 pages
Description
The MT@BZ annotation guidelines are guidelines for legal Italian-German machine translation quality assessment. Particularly, they cover the South Tyrolean German variety. They are based on version 1.3.3 of the Annotation Guidelines for English-Dutch Machine Translation Quality Assessment (https://www.lt3.ugent.be/publications/annotation-guidelines-for-english-dutch-machine-tr/). The guidelines also include specific instructions on how to annotate errors in WebAnno/INCEpTION and which sources to consult when assessing the correctness of a translation.
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