Table 3:
Results for comparing base model with previous work. Bayesian and NeuroCipher are the models proposed by Snyder et al. (2010) and Luo et al. (2019), respectively. Ugaritic results for previous work are taken from their papers. For NeuroCipher, we run the authors’ public implementation to obtain the results for Gothic.
LostUgariticGothic
KnownHebrewPGONOE
Bayesian 0.604 – – –
NeuroCipher 0.659 0.753 0.543 0.313
base 0.778 0.865 0.558 0.472
LostUgariticGothic
KnownHebrewPGONOE
Bayesian 0.604 – – –
NeuroCipher 0.659 0.753 0.543 0.313
base 0.778 0.865 0.558 0.472

A@1 is reported for Ugaritic to make direct comparison with previous work. A@10 is still used for Gothic experiments.

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