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

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


Abstract
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. This web portal houses the Singapore Government’s first neural machine translation (MT) engine, known as SG Translate, which was jointly developed by MCI and the Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR). Adapted using localised translation data, SG Translate is able to generate translations that are attuned to Singapore’s context and supports Singapore’s four (4) official languages – English (Singapore), Chinese (Singapore), Bahasa Melayu (Singapore) and Tamil (Singapore). Upon completion of development, MCI allowed all Government agencies to use SG Translate for their daily operations. This presentation will briefly cover the methodologies adopted and showcase SG Translate’s capability to translate content involving local culture, everyday life and government policies and schemes. This presentation will also showcase MCI’s sustainable approach for the continual training of the SG Translate MT engine through citizenry participation.
Anthology ID:
2022.amta-upg.28
Volume:
Proceedings of the 15th Biennial Conference of the Association for Machine Translation in the Americas (Volume 2: Users and Providers Track and Government Track)
Month:
September
Year:
2022
Address:
Orlando, USA
Editors:
Janice Campbell, Stephen Larocca, Jay Marciano, Konstantin Savenkov, Alex Yanishevsky
Venue:
AMTA
SIG:
Publisher:
Association for Machine Translation in the Americas
Note:
Pages:
405–415
Language:
URL:
https://aclanthology.org/2022.amta-upg.28
DOI:
Bibkey:
Cite (ACL):
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, and Nabilah Binte Md Johan. 2022. SG Translate Together - Uplifting Singapore’s translation standards with the community through technology. In Proceedings of the 15th Biennial Conference of the Association for Machine Translation in the Americas (Volume 2: Users and Providers Track and Government Track), pages 405–415, Orlando, USA. Association for Machine Translation in the Americas.
Cite (Informal):
SG Translate Together - Uplifting Singapore’s translation standards with the community through technology (Li et al., AMTA 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.amta-upg.28.pdf
Presentation:
 2022.amta-upg.28.Presentation.pdf