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1
The Helsinki submission to the AmericasNLP shared task ...
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The Helsinki submission to the AmericasNLP shared task ...
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3
On the differences of Bert and MT encoder spaces and how to address them in translation tasks ...
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An Empirical Investigation of Word Alignment Supervision for Zero-Shot Multilingual Neural Machine Translation ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.664/ Abstract: Zero-shot translations is a fascinating feature of Multilingual Neural Machine Translation (MNMT) systems. These MNMT models are usually trained on English-centric data, i.e. English either as the source or target language, and with a language label prepended to the input indicating the target language. However, recent work has highlighted several flaws of these models in zero-shot scenarios where language labels are ignored and the wrong language is generated or different runs show highly unstable results. In this paper, we investigate the benefits of an explicit alignment to language labels in Transformer-based MNMT models in the zero-shot context, by jointly training one cross attention head with word alignment supervision to stress the focus on the target language label. We compare and evaluate several MNMT systems on three multilingual MT benchmarks of different sizes, showing that simply supervising one cross attention head ...
Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Machine translation; Natural Language Processing
URL: https://underline.io/lecture/37650-an-empirical-investigation-of-word-alignment-supervision-for-zero-shot-multilingual-neural-machine-translation
https://dx.doi.org/10.48448/tjkw-ct40
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5
A Systematic Study of Inner-Attention-Based Sentence Representations in Multilingual Neural Machine Translation
In: Computational Linguistics, Vol 46, Iss 2, Pp 387-424 (2020) (2020)
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Multilingual NMT with a language-independent attention bridge ...
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