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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence

Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks

February 1, 2023

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Authors

Yong Wang

The University of Hong Kong


Longyue Wang

Tencent AI Lab


Shuming Shi

Tencent AI Lab


Victor O.K. Li

The University of Hong Kong


Zhaopeng Tu

Tencent AI Lab


DOI:

10.1609/aaai.v34i05.6461


Abstract:

The key challenge of multi-domain translation lies in simultaneously encoding both the general knowledge shared across domains and the particular knowledge distinctive to each domain in a unified model. Previous work shows that the standard neural machine translation (NMT) model, trained on mixed-domain data, generally captures the general knowledge, but misses the domain-specific knowledge. In response to this problem, we augment NMT model with additional domain transformation networks to transform the general representations to domain-specific representations, which are subsequently fed to the NMT decoder. To guarantee the knowledge transformation, we also propose two complementary supervision signals by leveraging the power of knowledge distillation and adversarial learning. Experimental results on several language pairs, covering both balanced and unbalanced multi-domain translation, demonstrate the effectiveness and universality of the proposed approach. Encouragingly, the proposed unified model achieves comparable results with the fine-tuning approach that requires multiple models to preserve the particular knowledge. Further analyses reveal that the domain transformation networks successfully capture the domain-specific knowledge as expected.1

Topics: AAAI

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HOW TO CITE:

Yong Wang||Longyue Wang||Shuming Shi||Victor O.K. Li||Zhaopeng Tu Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks Proceedings of the AAAI Conference on Artificial Intelligence (2020) 9233-9241.

Yong Wang||Longyue Wang||Shuming Shi||Victor O.K. Li||Zhaopeng Tu Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks AAAI 2020, 9233-9241.

Yong Wang||Longyue Wang||Shuming Shi||Victor O.K. Li||Zhaopeng Tu (2020). Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks. Proceedings of the AAAI Conference on Artificial Intelligence, 9233-9241.

Yong Wang||Longyue Wang||Shuming Shi||Victor O.K. Li||Zhaopeng Tu. Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks. Proceedings of the AAAI Conference on Artificial Intelligence 2020 p.9233-9241.

Yong Wang||Longyue Wang||Shuming Shi||Victor O.K. Li||Zhaopeng Tu. 2020. Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks. "Proceedings of the AAAI Conference on Artificial Intelligence". 9233-9241.

Yong Wang||Longyue Wang||Shuming Shi||Victor O.K. Li||Zhaopeng Tu. (2020) "Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks", Proceedings of the AAAI Conference on Artificial Intelligence, p.9233-9241

Yong Wang||Longyue Wang||Shuming Shi||Victor O.K. Li||Zhaopeng Tu, "Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks", AAAI, p.9233-9241, 2020.

Yong Wang||Longyue Wang||Shuming Shi||Victor O.K. Li||Zhaopeng Tu. "Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks". Proceedings of the AAAI Conference on Artificial Intelligence, 2020, p.9233-9241.

Yong Wang||Longyue Wang||Shuming Shi||Victor O.K. Li||Zhaopeng Tu. "Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks". Proceedings of the AAAI Conference on Artificial Intelligence, (2020): 9233-9241.

Yong Wang||Longyue Wang||Shuming Shi||Victor O.K. Li||Zhaopeng Tu. Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks. AAAI[Internet]. 2020[cited 2023]; 9233-9241.


ISSN: 2374-3468


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