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JW300: A Wide-Coverage Parallel Corpus for Low-Resource Languages

, and . Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, page 3204--3210. Florence, Italy, Association for Computational Linguistics, (July 2019)
DOI: 10.18653/v1/P19-1310

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JW300: A Wide-Coverage Parallel Corpus for Low-Resource Languages, and . Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, page 3204--3210. Florence, Italy, Association for Computational Linguistics, (July 2019)Are All Good Word Vector Spaces Isomorphic?, , and . Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), page 3178--3192. Online, Association for Computational Linguistics, (November 2020)Don't Stop Fine-Tuning: On Training Regimes for Few-Shot Cross-Lingual Transfer with Multilingual Language Models, , and . Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, page 10725--10742. Abu Dhabi, United Arab Emirates, Association for Computational Linguistics, (December 2022)Identifying word translations from comparable corpora using latent topic models, , , and . Proceedings of the 49th annual meeting of the association for computational linguistics: Human language technologies, page 479--484. (2011)Monolingual and Cross-Lingual Information Retrieval Models Based on (Bilingual) Word Embeddings., and . SIGIR, page 363-372. ACM, (2015)Informing Unsupervised Pretraining with External Linguistic Knowledge., , , , and . CoRR, (2019)A Survey of Cross-lingual Word Embedding Models., , and . J. Artif. Intell. Res., (2019)Composable Sparse Fine-Tuning for Cross-Lingual Transfer., , , and . CoRR, (2021)BAD-X: Bilingual Adapters Improve Zero-Shot Cross-Lingual Transfer., , , and . NAACL-HLT, page 1791-1799. Association for Computational Linguistics, (2022)Analogy Training Multilingual Encoders., , , , , and . AAAI, page 12884-12892. AAAI Press, (2021)