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 […]
Localization teams in 2024 have a renewed interest in implementing AI translation in workflows. It is a reasonable way to trim their budgets and improve per-word costs. However, monetization often becomes a struggle because the mechanism to track human post-editing effort – unlike that of an AI – fairly and responsively is underdeveloped. One way […]
On Monday, November the 6th, OpenAI upveiled the new improved models. Let’s explore the main features of GPT-4 Turbo and its possible implementations in the localization field. The release is a gauntlet of challenge to a broad range of AI companies. Not just LLM builders like Antropic and Cohere, but also speech recognition, synthetic voice, […]
Custom.MT, a leading provider of applied AI for localization, has been approved for Nvidia’s Inception program for startups. With this program, Nvidia supports and nurtures promising startups in the fields of AI and data science. Now that Custom.MT is a member of Inception. So we will have access to significant benefits that will help us […]
Custom.MT integrated ChatGPT and made it available through a Trados Plugin. Try it, the first 50,000 characters are on us. Like all technology teams out there, Custom.MT is experiencing the AI revolution with awe and excitement. As soon as OpenAI made waves, we decided to make it work for localization people. Working on our first […]
This guide is useful to train your own Microsoft AutoML translation model for customized MT using Microsoft Translator. 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 […]
This guide is useful to train your own Google AutoML translation model. For example, you can train a domain MT 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 […]
This guide is useful to train your own Amazon MT 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. […]
Running professional human evaluations of machine translation performance requires detailed methodology and software tools to streamline the process. The most detailed approach to evaluation today is through labeling data such as errors and assign weights to critical issues using a variation of DQF/MQM ontology. In this article, we outline Custom.MT’s journey to selecting and implementing […]
Founded in 2005 as a think tank, TAUS has turned into a prominent marketplace for machine translation training datasets, and a data services provider. Gone are the days of hosting conferences, the TAUS team is now busy collecting text and speech data for the likes of Google and Microsoft in a crowded space alongside Appen, […]
Machine translation is an important field that connects humans across the planet, giving each person unprecedented access to information. Yet very little is published about the people who drive the industry forward. Starting out in MT, we realized that neither the business nor the scientific communities have a clear vision of who the movers and shakers in the industry are today.
We’re seeing a rise in the number of projects and requests that rely on raw machine translation. When Custom.MT started, clients wanted to train models to improve the productivity of human translators, and to reduce the cost. Today, more than half of the requests we get are about doing the translation fully automatically, without a […]