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Table 3

Results of UDapter and UDify (Kondratyuk and Straka 2019) trained separately for POS tagging, morphological tagging, and NER on 13 high-resource languages. hr-avg is calculated over all 13 training languages, where ja and kr are removed from morphological tagging.

areneufihehiitjakorusvtrzhhr-avg
POS Tagging (Accuracy) 
multi-udify 96.3 96.6 94.5 96.4 96.5 96.7 98.3 96.8 95.3 98.5 97.6 93.4 93.8 96.1 
udapter 96.8 97.0 95.7 97.3 97.1 97.4 98.3 97.0 96.5 98.9 98.4 95.1 95.1 97.0 
 
Morphological Tagging (F1) 
multi-udify 95.7 97.5 92.0 94.7 94.9 97.0 98.9 – – 97.6 97.6 90.9 98.9 95.9 
udapter 96.8 98.0 95.4 96.7 96.2 97.7 99.2 – – 98.3 98.3 94.8 99.2 97.3 
 
NER (F1) 
multi-udify 87.9 84.1 91.3 90.9 84.7 86.8 91.3 68.8 87.3 88.6 94.4 91.9 78.8 86.7 
udapter 89.4 85.4 92.7 92.4 86.7 89.5 92.4 71.9 88.8 89.8 95.8 93.1 81.3 88.4 
areneufihehiitjakorusvtrzhhr-avg
POS Tagging (Accuracy) 
multi-udify 96.3 96.6 94.5 96.4 96.5 96.7 98.3 96.8 95.3 98.5 97.6 93.4 93.8 96.1 
udapter 96.8 97.0 95.7 97.3 97.1 97.4 98.3 97.0 96.5 98.9 98.4 95.1 95.1 97.0 
 
Morphological Tagging (F1) 
multi-udify 95.7 97.5 92.0 94.7 94.9 97.0 98.9 – – 97.6 97.6 90.9 98.9 95.9 
udapter 96.8 98.0 95.4 96.7 96.2 97.7 99.2 – – 98.3 98.3 94.8 99.2 97.3 
 
NER (F1) 
multi-udify 87.9 84.1 91.3 90.9 84.7 86.8 91.3 68.8 87.3 88.6 94.4 91.9 78.8 86.7 
udapter 89.4 85.4 92.7 92.4 86.7 89.5 92.4 71.9 88.8 89.8 95.8 93.1 81.3 88.4 
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