Before revision: We present a focused study of few-shot crosslingual transfer , a recently proposed NLP scenario: a pretrained multilingual encoder is first finetuned on many annotations in a high resource language (typically English), and then finetuned on a few annotations (the ``few shots'') in a target language. Few-shot transfer brings large improvements over zero-shot transfer.
After revision: Few-shot crosslingual transfer has been shown to outperform its zero-shot transfer.