See How a Professional Translation Platform’s Helping Experts Fight the Coronavirus

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By DAMO Academy Translation Platform Team.

The current pandemic poses a grave threat to human life and health across the world. The World Health Organization has called on the international community to regard the COVID-19 virus as “public enemy number one,” so fighting the epidemic is everyone’s priority. Throughout the world, there’s new research into the virus itself and possible treatments as well as much progress being made for a new vaccine. As of February 4, at least 77 research papers related to COVID-19 were published in English. In order to break down language barriers and coordinate the latest research on the virus between China and the world, the Alibaba DAMO Academy’s translation team launched the Professional Translation Platform for COVID-19. This platform provides free Chinese-to-English and English-to-Chinese translation services for professional documents in the medical field to help medical professionals around the world team together and fight the virus.

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DAMO’s Professional Medical Translation Engine

Core Machine Translation Algorithms

Bilingual Corpus Scoring Technology

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The right side of the figure shows the main part of the model. This is the pre-trained bilingual expert model, which is very similar to the Transformer NMT model. However, as we are not performing generation tasks, we changed the target to a bidirectional transformer model. This model can effectively extract the bidirectional language features of the original text and the translation. Then, after this step of the training process, a powerful bilingual language model is created.

The left side of the figure shows a quality evaluation model based on Bi-LSTM, which integrates the features obtained from the bilingual expert model and some word distribution matching features. These features can effectively predict the quality of the corpus.

Machine Translation Intervention Technology

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Professional Epidemic Dictionary

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Epidemic-related Professional Literature Sharing

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Function Optimization

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  1. PDF text parsing: This process generally uses optical character recognition (OCR) or directly parses PDF documents. After investigating the comparing different approaches, Alibaba Translate found that converting PDF documents into Microsoft Word .docx files facilitates the layout and restoration of translated documents. Therefore, PDF files are converted into docx files, which are then parsed for document translation.
  2. Layout retention: The layout of the original PDF document must be retained in the translation so that the source file and the translated file can be viewed and compared side by side. This improves the reading experience. When extracting the text content of a docx file, Alibaba Translate retains the text locations and other similar information. Then, after the translation is done, the platform generates the translated files while applying the retained information so they have the same layout as the source files.
  3. Web and mobile preview: By using Alibaba Cloud Intelligent Media Management (IMM) to provide a document preview function, we also optimized the document viewing experience.

You can go directly to the Professional Translation Platform for the COVID-19 Field portal at this link: https://medtrans.damo.alibaba.com/medtrans.htm

While continuing to wage war against the worldwide outbreak, Alibaba Cloud will play its part and will do all it can to help others in their battles with the coronavirus. Learn how we can support your business continuity at https://www.alibabacloud.com/campaign/fight-coronavirus-covid-19

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