A Strategy for Referential Problem in Low-Resource Neural Machine Translation

Yatu Ji, Lei Shi, Yi La Su, Qing-dao-er-ji Ren, Nier Wu, Hongbin Wang. A Strategy for Referential Problem in Low-Resource Neural Machine Translation. In Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter, editors, Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part V. Volume 12895 of Lecture Notes in Computer Science, pages 321-332, Springer, 2021. [doi]

@inproceedings{JiSSRWW21,
  title = {A Strategy for Referential Problem in Low-Resource Neural Machine Translation},
  author = {Yatu Ji and Lei Shi and Yi La Su and Qing-dao-er-ji Ren and Nier Wu and Hongbin Wang},
  year = {2021},
  doi = {10.1007/978-3-030-86383-8_26},
  url = {https://doi.org/10.1007/978-3-030-86383-8_26},
  researchr = {https://researchr.org/publication/JiSSRWW21},
  cites = {0},
  citedby = {0},
  pages = {321-332},
  booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part V},
  editor = {Igor Farkas and Paolo Masulli and Sebastian Otte and Stefan Wermter},
  volume = {12895},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-86383-8},
}