The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Normalized Word Embedding and Orthogonal Transform for Bilingual Word Translation
Open accessAbstract
Word embedding has been found to be highly powerful to translate words from one language to another by a simple linear transform.However, we found some inconsistence among the objective functions of the embedding and the transform learning, as well as the distance measurement.This paper proposes a solution which normalizes the word vectors on a hypersphere and constrains the linear transform as an orthogonal transform.The experimental results confirmed that the proposed solution can offer better performance on a word similarity task and an English-to-Spanish word translation task.
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Citations
Cites
Efficient Estimation of Word Representations in Vector Space
Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013) · arXiv · doi:10.48550/arxiv.1301.3781 · Cited by 26,568
Distributed Representations of Words and Phrases and their Compositionality
Mikolov, T., Sutskever, I., Chen, K., Corrado, G., & Dean, J. (2013) · arXiv · doi:10.48550/arxiv.1310.4546 · Cited by 24,533
Improving Vector Space Word Representations Using Multilingual Correlation
Faruqui, M., & Dyer, C. (2014) · Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics · doi:10.3115/v1/e14-1049 · Cited by 620
Cited by
Cross-lingual Language Model Pretraining
Lample, G., & Conneau, A. (2019) · arXiv · doi:10.48550/arxiv.1901.07291 · Cited by 1,586
XNLI: Evaluating Cross-lingual Sentence Representations
Conneau, A., Rinott, R., Lample, G., Williams, A., Bowman, S., Schwenk, H., & Stoyanov, V. (2018) · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d18-1269 · Cited by 915
A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings
Artetxe, M., Labaka, G., & Agirre, E. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.18653/v1/p18-1073 · Cited by 555
Learning bilingual word embeddings with (almost) no bilingual data
Artetxe, M., Labaka, G., & Agirre, E. (2017) · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.18653/v1/p17-1042 · Cited by 455
Cross-Lingual Entity Alignment via Joint Attribute-Preserving Embedding
Sun, Z., Hu, W., & Li, C. (2017) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-68288-4_37 · Cited by 438
Metadata
- Authors
- Xing, C., Wang, D., Liu, C., & Lin, Y.
- Venue
- Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Published
- 2015
- Pages
- 1006-1011
- OpenAlex
- W2294774419
- Cited by
- 381
- References
- 3
- FWCI
- 13.07
- Type
- conference paper
- Language
- en
- Open access
- hybrid
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- Xing, C., Wang, D., Liu, C., & Lin, Y. (2015). Normalized Word Embedding and Orthogonal Transform for Bilingual Word Translation. Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. https://doi.org/10.3115/v1/n15-1104
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