Search Results for author: Wu Kui

Found 4 papers, 3 papers with code

SG Translate Together - Uplifting Singapore’s translation standards with the community through technology

no code implementations AMTA 2022 Lee Siew Li, Adeline Sim, Gowri Kanagarajah, Siti Amirah, Foo Yong Xiang, Gayathri Ayathorai, Sarina Mohamed Rasol, Aw Ai Ti, Wu Kui, Zheng Weihua, Ding Yang, Tarun Kumar Vangani, Nabilah Binte Md Johan

The Singapore’s Ministry of Communications and Information (MCI) has officially launched the SG Translate Together (SGTT) web portal on 27 June 2022, with the aim of partnering its citizens to improve translation standards in Singapore.

Cultural Vocal Bursts Intensity Prediction Machine Translation +1

Refining Low-Resource Unsupervised Translation by Language Disentanglement of Multilingual Model

1 code implementation31 May 2022 Xuan-Phi Nguyen, Shafiq Joty, Wu Kui, Ai Ti Aw

Numerous recent work on unsupervised machine translation (UMT) implies that competent unsupervised translations of low-resource and unrelated languages, such as Nepali or Sinhala, are only possible if the model is trained in a massive multilingual environment, where these low-resource languages are mixed with high-resource counterparts.

Disentanglement Translation +1

Cross-model Back-translated Distillation for Unsupervised Machine Translation

1 code implementation3 Jun 2020 Xuan-Phi Nguyen, Shafiq Joty, Thanh-Tung Nguyen, Wu Kui, Ai Ti Aw

Recent unsupervised machine translation (UMT) systems usually employ three main principles: initialization, language modeling and iterative back-translation, though they may apply them differently.

Denoising Language Modelling +2

Data Diversification: A Simple Strategy For Neural Machine Translation

2 code implementations NeurIPS 2020 Xuan-Phi Nguyen, Shafiq Joty, Wu Kui, Ai Ti Aw

Our method achieves state-of-the-art BLEU scores of 30. 7 and 43. 7 in the WMT'14 English-German and English-French translation tasks, respectively.

Knowledge Distillation Machine Translation +2

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