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Unsupervised Translation of German--Lower Sorbian: Exploring Training and Novel Transfer Methods on a Low-Resource Language ...
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On the Effectiveness of Dataset Embeddings in Mono-lingual,Multi-lingual and Zero-shot Conditions ...
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Multilingual Unsupervised Neural Machine Translation with Denoising Adapters ...
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Abstract:
We consider the problem of multilingual unsupervised machine translation, translating to and from languages that only have monolingual data by using auxiliary parallel language pairs. For this problem the standard procedure so far to leverage the monolingual data is back-translation, which is computationally costly and hard to tune. In this paper we propose instead to use denoising adapters, adapter layers with a denoising objective, on top of pre-trained mBART-50. In addition to the modularity and flexibility of such an approach we show that the resulting translations are on-par with back-translating as measured by BLEU, and furthermore it allows adding unseen languages incrementally. ... : Accepted as a long paper to EMNLP 2021 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2110.10472 https://arxiv.org/abs/2110.10472
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Multilingual Unsupervised Neural Machine Translation with Denoising Adapters ...
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From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding ...
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On the Difficulty of Translating Free-Order Case-Marking Languages ...
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UDapter: Language Adaptation for Truly Universal Dependency Parsing ...
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Incorporating word embeddings in unsupervised morphological segmentation
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In: 2020 ; 1 ; 21 (2020)
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A Trie-Structured Bayesian Model for Unsupervised Morphological Segmentation ...
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Turkish PoS Tagging by Reducing Sparsity with Morpheme Tags in Small Datasets ...
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