Does Multimodality Help Human and Machine for Translation and Image Captioning?
Ozan Caglayan, Walid Aransa, Yaxing Wang, Marc Masana, Mercedes García-Martínez, Fethi Bougares, Loïc Barrault, Joost van de Weijer
- Anthology ID:
- W16-2358
- Volume:
- Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers
- Month:
- August
- Year:
- 2016
- Address:
- Berlin, Germany
- Editors:
- Ondřej Bojar, Christian Buck, Rajen Chatterjee, Christian Federmann, Liane Guillou, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Aurélie Névéol, Mariana Neves, Pavel Pecina, Martin Popel, Philipp Koehn, Christof Monz, Matteo Negri, Matt Post, Lucia Specia, Karin Verspoor, Jörg Tiedemann, Marco Turchi
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 627–633
- Language:
- URL:
- https://aclanthology.org/W16-2358
- DOI:
- 10.18653/v1/W16-2358
- Cite (ACL):
- Ozan Caglayan, Walid Aransa, Yaxing Wang, Marc Masana, Mercedes García-Martínez, Fethi Bougares, Loïc Barrault, and Joost van de Weijer. 2016. Does Multimodality Help Human and Machine for Translation and Image Captioning?. In Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers, pages 627–633, Berlin, Germany. Association for Computational Linguistics.
- Cite (Informal):
- Does Multimodality Help Human and Machine for Translation and Image Captioning? (Caglayan et al., WMT 2016)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/W16-2358.pdf