Quantifying fine-grained cross-lingual semantic divergences at scale, requires computational models that do not rely on human-labeled supervision. How can we draw on linguistics and translation theories studies to account for gold supervision?
Quantifying fine-grained cross-lingual semantic divergences at scale, requires computational models that do not rely on human-labeled supervision. How can we draw on linguistics and translation theories studies to account for gold supervision?
