@inproceedings{kann-etal-2017-one,
    title = "One-Shot Neural Cross-Lingual Transfer for Paradigm Completion",
    author = {Kann, Katharina  and
      Cotterell, Ryan  and
      Sch{\"u}tze, Hinrich},
    editor = "Barzilay, Regina  and
      Kan, Min-Yen",
    booktitle = "Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2017",
    address = "Vancouver, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/P17-1182/",
    doi = "10.18653/v1/P17-1182",
    pages = "1993--2003",
    abstract = "We present a novel cross-lingual transfer method for paradigm completion, the task of mapping a lemma to its inflected forms, using a neural encoder-decoder model, the state of the art for the monolingual task. We use labeled data from a high-resource language to increase performance on a low-resource language. In experiments on 21 language pairs from four different language families, we obtain up to 58{\%} higher accuracy than without transfer and show that even zero-shot and one-shot learning are possible. We further find that the degree of language relatedness strongly influences the ability to transfer morphological knowledge."
}