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Table 2: 
Main results on Gothic in a variety of settings using A@10 scores. All scores are reported in the format of triplets, corresponding to base / partial / full models. In general, more phonological knowledge about the lost language, more segmentations improve the model performance. The choice of the known language also plays a significant role as Proto-Germanic has a noticeably higher score than the other two choices.
WRKnown language
Proto-Germanic (PG)Old Norse (ON)Old English (OE)avg††
0% 0.820 / 0.749 / 0.863 0.213 / 0.397 / 0.597 0.046 / 0.204 / 0.497 0.360 / 0.450 / 0.652 
25% 0.752 / 0.734 / 0.826 0.312 / 0.478 / 0.610 0.128 / 0.328 / 0.474 0.398 / 0.513 / 0.637 
50% 0.752 / 0.736 / 0.848 0.391 / 0.508 / 0.643 0.169 / 0.404 / 0.495 0.438 / 0.549 / 0.662 
75% 0.761 / 0.732 / 0.866 0.435 / 0.544 / 0.682 0.250 / 0.447 / 0.533 0.482 / 0.574 / 0.693 
avg 0.771 / 0.737 / 0.851 0.338 / 0.482 / 0.633 0.148 / 0.346 / 0.500 0.419 / 0.522 / 0.661 
WRKnown language
Proto-Germanic (PG)Old Norse (ON)Old English (OE)avg††
0% 0.820 / 0.749 / 0.863 0.213 / 0.397 / 0.597 0.046 / 0.204 / 0.497 0.360 / 0.450 / 0.652 
25% 0.752 / 0.734 / 0.826 0.312 / 0.478 / 0.610 0.128 / 0.328 / 0.474 0.398 / 0.513 / 0.637 
50% 0.752 / 0.736 / 0.848 0.391 / 0.508 / 0.643 0.169 / 0.404 / 0.495 0.438 / 0.549 / 0.662 
75% 0.761 / 0.732 / 0.866 0.435 / 0.544 / 0.682 0.250 / 0.447 / 0.533 0.482 / 0.574 / 0.693 
avg 0.771 / 0.737 / 0.851 0.338 / 0.482 / 0.633 0.148 / 0.346 / 0.500 0.419 / 0.522 / 0.661 

Short for whitespace ratio.

††

Averaged over all whitespace ratio values.

Averaged over all known languages.

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