Further out, we’re exploring ways to automatically translate everything in multiple dimensions: text on images, textures, 3D models, etc. In addition, this architecture will make it possible to train the model on new languages with relatively low effort, as sufficient training data becomes available for those languages. “We plan to continue to update our models with the latest translation examples from within our experiences as well as popular chat phrases and the latest slang phrases in every language we support. We wanted to assess the quality of the translation - without a ground truth translation,” Roblox CTO Daniel Sturman explained in a blog post. “Most off-the-shelf translation quality metrics compare the AI translation result to some ground truth or reference translation and focus primarily on the understandability of the translation. Back translation and iterative training further improved quality, especially for less common language pairs. It was trained on open-source data plus Roblox’s own chat logs and human translations. Their unified translation model is uniquely tailored to handle Roblox’s community slang and abbreviations. The company said scaling live translations for millions of simultaneous player chats globally required an extremely fast and accurate AI system. Previously, Roblox used AI to translate static game content but not real-time interactions. The system can translate between any combination of the supported languages with approximately 100-millisecond latency, creating near-instantaneous conversations. The popular online gaming platform developed a custom natural language processing model to power the translations. Users are now able to seamlessly communicate with others who speak a different language through automatic translations that appear in almost as soon as they are submitted. Roblox has enhanced its in-game chat feature with real-time translations across 16 different languages by leveraging AI.
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