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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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Abstract:
This paper describes the methods behind the systems submitted by the University of Groningen for the WMT 2021 Unsupervised Machine Translation task for German--Lower Sorbian (DE--DSB): a high-resource language to a low-resource one. Our system uses a transformer encoder-decoder architecture in which we make three changes to the standard training procedure. First, our training focuses on two languages at a time, contrasting with a wealth of research on multilingual systems. Second, we introduce a novel method for initializing the vocabulary of an unseen language, achieving improvements of 3.2 BLEU for DE$\rightarrow$DSB and 4.0 BLEU for DSB$\rightarrow$DE. Lastly, we experiment with the order in which offline and online back-translation are used to train an unsupervised system, finding that using online back-translation first works better for DE$\rightarrow$DSB by 2.76 BLEU. Our submissions ranked first (tied with another team) for DSB$\rightarrow$DE and third for DE$\rightarrow$DSB. ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2109.12012 https://dx.doi.org/10.48550/arxiv.2109.12012
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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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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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