Learning Translations via Matrix Completion
<|reference_start|>Learning Translations via Matrix Completion: Bilingual Lexicon Induction is the task of learning word translations without bilingual parallel corpora. We model this task as a matrix completion problem, and present an effective and extendable framework for completing the matrix. This method harnesses diverse bilingual and monolingual signals, each of which may be incomplete or noisy. Our model achieves state-of-the-art performance for both high and low resource languages.<|reference_end|>
@article{wijaya2024learning,
    title={Learning Translations via Matrix Completion},
    author={Derry Wijaya, Brendan Callahan, John Hewitt, Jie Gao, Xiao Ling,
  Marianna Apidianaki, Chris Callison-Burch},
    journal={Volume: Proceedings of the 2017 Conference on Empirical Methods in
  Natural Language Processing, Year: 2017, Pages: 1452-1463},
    year={2024},
    doi={10.18653/v1/D17-1152},
    archivePrefix={arXiv},
    eprint={2406.13195},
    primaryClass={cs.CL}
}