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        <title>Effective Strategies in Zero-Shot Neural Machine Translation</title>
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        <namePart type="given">Thanh-Le</namePart>
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            <title>Proceedings of the 14th International Conference on Spoken Language Translation</title>
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    <abstract>In this paper, we proposed two strategies which can be applied to a multilingual neural machine translation system in order to better tackle zero-shot scenarios despite not having any parallel corpus. The experiments show that they are effective in terms of both performance and computing resources, especially in multilingual translation of unbalanced data in real zero-resourced condition when they alleviate the language bias problem.</abstract>
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%0 Conference Proceedings
%T Effective Strategies in Zero-Shot Neural Machine Translation
%A Ha, Thanh-Le
%A Niehues, Jan
%A Waibel, Alexander
%Y Sakti, Sakriani
%Y Utiyama, Masao
%S Proceedings of the 14th International Conference on Spoken Language Translation
%D 2017
%8 dec 14 15
%I International Workshop on Spoken Language Translation
%C Tokyo, Japan
%F ha-etal-2017-effective
%X In this paper, we proposed two strategies which can be applied to a multilingual neural machine translation system in order to better tackle zero-shot scenarios despite not having any parallel corpus. The experiments show that they are effective in terms of both performance and computing resources, especially in multilingual translation of unbalanced data in real zero-resourced condition when they alleviate the language bias problem.
%U https://aclanthology.org/2017.iwslt-1.15
%P 105-112

Markdown (Informal)

[Effective Strategies in Zero-Shot Neural Machine Translation](https://aclanthology.org/2017.iwslt-1.15) (Ha et al., IWSLT 2017)

• Effective Strategies in Zero-Shot Neural Machine Translation (Ha et al., IWSLT 2017)

ACL

• Thanh-Le Ha, Jan Niehues, and Alexander Waibel. 2017. Effective Strategies in Zero-Shot Neural Machine Translation. In Proceedings of the 14th International Conference on Spoken Language Translation, pages 105–112, Tokyo, Japan. International Workshop on Spoken Language Translation.