In search of isoglosses: continuous and discrete language embeddings in Slavic historical phonology
Table 3: Proportion of word errors produced by each model (rows) shared with other models (columns)
['Model', 'Dense', 'Sigmoid', 'ST']
We quantitatively assess the issues enumerated above in the manner described below. To assess the prevalence of target errors, we measure the extent to which models agree in terms of the data points for which poor performance is exhibited. We take this agreement as a proxy for errors in the data; if the same data points cause problems across models, this poor performance may be an artifact of morphological mismatches in the data or fewer examples in the training data than needed to learn the patterns for the data points in question.