What is ModernMT
ModernMT is a cloud-based machine translation platform developed by Translated that aims to deliver more human-like translations. It utilizes neural adaptive machine translation technology to provide high-quality translations across 200 languages. What sets ModernMT apart is its ability to learn and improve in real-time from human corrections and adapt to the full context of documents, rather than just translating sentences in isolation. The platform is designed for both enterprises seeking to improve their translation workflows and professional translators looking to boost productivity.
How does ModernMT work?
ModernMT works by combining a powerful base neural machine translation engine with adaptive learning capabilities. Unlike traditional MT systems, ModernMT doesn't require pre-training on specific domains. Instead, it analyzes the entire document to understand context and terminology, then adapts its translations in real-time. For enterprises, it can integrate with existing workflows via APIs. For translators, it offers plugins for popular CAT tools. As translations are corrected by humans, ModernMT learns from these edits instantly, continuously improving its output quality. The system also employs a unique 'Human-in-the-Loop' approach, where low-confidence translations are revised in the background to enhance the model over time.
Benefits of ModernMT
Using ModernMT offers several key benefits. It provides superior translation quality by adapting to document context and learning from corrections in real-time. This eliminates the need for expensive custom engine training and maintenance. The platform is highly scalable and cost-effective, making it suitable for businesses of all sizes. ModernMT ensures data privacy and security, with ISO 27001:2013 certification. For translators, it boosts productivity while allowing them to maintain creative control. The system's ability to learn and improve continuously means translation quality and efficiency increase over time, leading to better results and potential cost savings for users.
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