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An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces.

, , , , , , и . EMNLP (Findings), стр. 738-749. Association for Computational Linguistics, (2021)

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Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport., , , , и . EMNLP, стр. 2545-2561. Association for Computational Linguistics, (2022)An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces., , , , , , и . EMNLP (Findings), стр. 738-749. Association for Computational Linguistics, (2021)Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training., , , и . ACL (Findings), стр. 5474-5490. Association for Computational Linguistics, (2023)IsoVec: Controlling the Relative Isomorphism of Word Embedding Spaces., , , и . EMNLP, стр. 6019-6033. Association for Computational Linguistics, (2022)Learning a Formality-Aware Japanese Sentence Representation., , , и . CoRR, (2023)Johns Hopkins University Submission for WMT News Translation Task., , и . WMT (2), стр. 287-293. Association for Computational Linguistics, (2019)On Systematic Style Differences between Unsupervised and Supervised MT and an Application for High-Resource Machine Translation., , и . NAACL-HLT, стр. 2214-2225. Association for Computational Linguistics, (2022)An Alignment-Based Approach to Semi-Supervised Bilingual Lexicon Induction with Small Parallel Corpora., , и . MTSummit (1), стр. 293-304. Association for Machine Translation in the Americas, (2021)Embedding-Enhanced GIZA++: Improving Low-Resource Word Alignment Using Embeddings., , и . AMTA, стр. 264-273. Association for Machine Translation in the Americas, (2022)When Does Unsupervised Machine Translation Work?, , и . WMT@EMNLP, стр. 571-583. Association for Computational Linguistics, (2020)