On April 26, Netease has released the latest real-world AR translation technology at the Global Mobile Internet Conference (GMIC). This is the first real real-world AR translation solution in China, adding to the current hot translation community. A fire.
The whole process of real-life AR translation is completely dynamic, and it fits well with travel abroad, shopping and other scenes, and is connected to the tangible offline neural network translation technology (YNMT). The translation quality is comparable to that of professional eight, and the speed is extremely fast. . Compared with the previous photo translation, the experience has a leapfrog upgrade.
Completely offline, what you see is translated
The most high-frequency usage scenarios of translation tools are foreign travel and Haitao shopping, and the efficiency of inputting text re-translation is not high. A real-life AR translation can solve this problem. You only need to pick up the phone to scan, you can get product information, road signs, and the entire translation process is faster than scanning the QR code. Most importantly, the entire process is done offline, even without a network, there is no language barrier. It is understood that there are currently four real-time AR translations that support Chinese, English, Japanese and Korean.
A real-life AR translation can realize the follow-up translation of the captured content of the mobile phone lens under the motion state, and the follow-up speed is very fast, and the translation result can be accurately presented. For some common translation corpora, such as papers, cosmetic packaging, personal documents, product manuals, and a real-life AR translation have made special technical optimization. In the visual presentation of the translation results, the edges, background colors and color of the translation results can be seamlessly matched with the original background.
Cross the technical threshold, gather top AI technology
The threshold for full offline AR translation technology is very high. It has been tried since 2016. After several technical experiments, overthrows and re-experiments, the current results have been achieved. At the GMIC conference, Netease's chief scientist Duan Yitao analyzed the four AI black technologies that were integrated.
Dynamic tracking (Tracking)
Unlike static photo translation, real-world AR translation is done in the case of dynamic movement. The dynamic tracking that is independently developed by the company is to use the motion prediction model to achieve dynamic tracking, and the speed can reach 90 frames/second. “The tracking speed of the movie screen is 24 frames per second, so the track speed of the track looks very smooth.â€
OCR segment analysis (Layout Analysis)
Letting the machine understand the paragraph level of human language is a very important factor affecting the translation results. To this end, it has been used to train millions of different types of corpus using OCR segment technology. Duan Yitao said, "The segment technology is very important in the real AR translation, which is why users will feel that the real AR translation will be more fluent than Google."
Offline Neural Network Translation (YNMT)
Offline YNMT greatly improved the speed of real AR translation. With less than 100M offline packages installed, you can easily translate in a network-free environment. The YNMT is one of the most advanced technologies in the field of translation. The quality of Chinese and English translations is comparable to that of professional eight.
AR rendering technology
After the background translation is completed, the self-developed AR engine will complete the pixel-level rendering in 20 milliseconds. The background edges, colors, and font colors of the translated results remain highly blended with the original image.
Technology innovators in the field of translation
After the outbreak of AI, there was a subversive technological innovation in the translation industry almost every year.
In April 2017, we launched a neural network translation-based technology (YNMT) that broke through the limitations of the past statistical translation model (SMT), and the improvement in translation quality was the sum of the past decade.
Soon, the offline YNMT was launched, and the offline OCR technology was used to break through the limitations of the network environment for translation. The translation speed was greatly improved and the accuracy was comparable to the networking effect.
In order to give users a better voice interaction experience, I have tried the translation project of “YNMT+Intelligent Hardware†for the first time and launched a translated egg. The photo translation and the real-life AR translation launched this time are translation solutions based on visual interaction, which will upgrade the translation experience. Always trying to "first eat crabs" has a profound technical accumulation and become a promoter of Chinese translation technology innovation.
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