@inproceedings{okabe-etal-2020-multimodal,
    title = "Multimodal Quality Estimation for Machine Translation",
    author = "Okabe, Shu  and
      Blain, Fr{\'e}d{\'e}ric  and
      Specia, Lucia",
    editor = "Jurafsky, Dan  and
      Chai, Joyce  and
      Schluter, Natalie  and
      Tetreault, Joel",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2020.acl-main.114/",
    doi = "10.18653/v1/2020.acl-main.114",
    pages = "1233--1240",
    abstract = "We propose approaches to Quality Estimation (QE) for Machine Translation that explore both text and visual modalities for Multimodal QE. We compare various multimodality integration and fusion strategies. For both sentence-level and document-level predictions, we show that state-of-the-art neural and feature-based QE frameworks obtain better results when using the additional modality."
}