This is an open source implementation of
Oshikiri, T., Fukui, K., Shimodaira, H. (2016). Cross-Lingual Word Representations via Spectral Graph Embeddings. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics. (To appear)
src/: Source codes (C++ & Rcpp version)cpp/: Source codes (C++ only version)experiments/: Code used in the experimentstools/
- CL-LSI [Littman+ 1998]
- Eigenwords [Dhillon+ 2012] [Dhillon+ 2015]
- One-Step CCA (OSCCA)
- Two-Step CCA (TSCCA)
- Eigendocs
- Cross-Lingual Eigenwords (CL-Eigenwords) [Oshikiri+ 2016]
- Reuters Corpora (RCV1) http://trec.nist.gov/data/reuters/reuters.html
- Europarl corpus http://www.statmt.org/europarl/
- questions-words.txt https://code.google.com/archive/p/word2vec/
- The WordSimilarity-353 Test Collection http://www.cs.technion.ac.il/~gabr/resources/data/wordsim353/
- text8 corpus http://mattmahoney.net/dc/text8.zip
- Oshikiri, T., Fukui, K., Shimodaira, H. (2016). Cross-Lingual Word Representations via Spectral Graph Embeddings. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics. (To appear)
- Dhillon, P., Rodu, J., Foster, D., and Ungar, L. (2012). Two step cca: A new spectral method for estimating vector models of words. In Langford, J. and Pineau, J., editors, Proceedings of the 29th International Conference on Machine Learning (ICML-12), ICML ’12, pages 1551–1558, New York, NY, USA. Omnipress.
- Dhillon, P. S., Foster, D. P., and Ungar, L. H. (2015). Eigenwords: Spectral word embeddings. Journal of Machine Learning Research, 16:3035–3078.
- Source code : paramveerdhillon/swell - GitHub
- Output : Codes | Paramveer Dhillon
- Littman, M. L., Dumais, S. T., & Landauer, T. K. (1998). Automatic cross-language information retrieval using latent semantic indexing. Cross-Language Information Retrieval, 51–62.
GPL v3