Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces

Prince Osei Aboagye, Yan Zheng 0001, Chin-Chia Michael Yeh, JunPeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang 0189, Jeff M. Phillips. Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces. In Kevin Duh, Francisco Guzmán, Stephen Richardson, editors, Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), AMTA 2022, Orlando, USA, September 12-16, 2022. pages 200-214, Association for Machine Translation in the Americas, 2022. [doi]

@inproceedings{AboagyeZYWZCWZP22,
  title = {Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces},
  author = {Prince Osei Aboagye and Yan Zheng 0001 and Chin-Chia Michael Yeh and JunPeng Wang and Zhongfang Zhuang and Huiyuan Chen and Liang Wang and Wei Zhang 0189 and Jeff M. Phillips},
  year = {2022},
  url = {https://aclanthology.org/2022.amta-research.15},
  researchr = {https://researchr.org/publication/AboagyeZYWZCWZP22},
  cites = {0},
  citedby = {0},
  pages = {200-214},
  booktitle = {Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), AMTA 2022, Orlando, USA, September 12-16, 2022},
  editor = {Kevin Duh and Francisco Guzmán and Stephen Richardson},
  publisher = {Association for Machine Translation in the Americas},
}