Custom.MT Console has rolled out a key update: a way to combine the output of popular machine translation engines with generative AI. Localization specialists may now easily style MT output and “mix and blend colors” to get a more accurate and evocative machine translation that speaks with the audience. Machine translation engines are reliable but […]
This article details tactics to detect and label translation errors with GPT-4 and to build bots for language quality assurance. In the example of error labeling above, Rembrandt’s name is misspelled. That’s a Fluency error – not something critical impeding our understanding, but looking sloppy on a marketing piece that refers to a work of […]
Detecting and labeling translation errors with GenAI – correct link Machine translation based on large language models (LLMs) has come to CAT tools and TMS. We’re announcing the integration with Google Adaptive Translation, which leverages Google’s LLMs to produce more fluent and natural-sounding translations. Through Custom.MT Console, Google Adaptive Translation is now available in Trados, […]
Localization teams in 2024 have a renewed interest in implementing AI translation in workflows to trim their budgets and improve per-word costs. However, monetization often becomes a struggle because the mechanism to track human effort fairly and responsively is underdeveloped. Here is a way to tackle this challenge. Value for Localization Programs Machine translation has […]
https://youtu.be/tsfTX6j2AjA In this video, we demonstrate how to set up translation with ChatGPT in Trados, and how to customize the output with Custom.MT Console. Custom.MT Console is a machine translation platform integrated with Trados, memoQ and Smartling. It allows you to create, manage, and use your own custom machine translation (MT) models, and to connect […]
This guide is useful to train your own Microsoft AutoML translation model. For example, you can train a domain model, such as medical, legal, video games, financial reporting with your translation memory accumulated over the years. Alternatively, you can make an organization-specific model that knows all the product and people names, and follows your individual […]
This guide is useful to train your own Google AutoML translation model. For example, you can train a domain model, such as medical, legal, video games, financial reporting with your translation memory accumulated over the years. Alternatively, you can make an organization-specific model that knows all the product and people names, and follows your individual […]
This guide is useful to train your own Amazon translation model. For example, you can train a domain model, such as medical, legal, video games, financial reporting with your translation memory accumulated over the years. Alternatively, you can make an organization-specific model that knows all the product and people names, and follows your individual styles. […]