@inproceedings{zhang-duh-2021-approaching,
    title = "Approaching Sign Language Gloss Translation as a Low-Resource Machine Translation Task",
    author = "Zhang, Xuan  and
      Duh, Kevin",
    editor = "Shterionov, Dimitar",
    booktitle = "Proceedings of the 1st International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL)",
    month = aug,
    year = "2021",
    address = "Virtual",
    publisher = "Association for Machine Translation in the Americas",
    url = "https://preview.aclanthology.org/moar-dois/2021.mtsummit-at4ssl.7/",
    pages = "60--70",
    abstract = "A cascaded Sign Language Translation system first maps sign videos to gloss annotations and then translates glosses into a spoken languages. This work focuses on the second-stage gloss translation component, which is challenging due to the scarcity of publicly available parallel data. We approach gloss translation as a low-resource machine translation task and investigate two popular methods for improving translation quality: hyperparameter search and backtranslation. We discuss the potentials and pitfalls of these methods based on experiments on the RWTH-PHOENIX-Weather 2014T dataset."
}