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 […]
Today’s race for leadership in machine translation (MT) is between IT Giants Google and Microsoft, a few small specialized companies like DeepL and ModernMT, and open-source projects. What does it take, and how does it feel — to expand the boundaries of science and business at the very top of the machine translation field?
Can you translate your website? Yes, you can. If you’re smart about it.
Author: Konstantin Dranch Subtitlers are looking to adopt customized machine translation, but video localization systems are not ready for it yet. Here is what they could do to expedite up the process. Since Google introduced AutoML translation and Microsoft created Custom Translator, text translation management systems (TMS) have developed excellent support for trainable machine translation. […]
Partner Spotlight: Pangeanic Smart governments are hiring data scientists to further automate what governments do for their citizens. These data scientists work on creating data highways, so that the information that flows into systems is structured, and a thousand different applications can spring forth from it in the future. In the meanwhile, Manuel Herranz and his company […]
Striking that balance between localization cost and it’s quality can be quite a challenge. In this webinar, renowned localization experts talk about their experience with implementing MT solutions in their companies. Let us introduce our guests: Sathish Chander — Booking.com’s Journey in MT Data Product Director at Booking.com. Sathish talks about the story of how his […]
Authors: Will Pace, Konstantin Dranch and Silvia Schiavoni Globalese is an affordable machine translation system tailored for trainers. Thanks to a great sandbox and a direct connection of users with the company’s founders, Globalese has become a very popular choice with the MT trainer community. Custom.MT presents the story of Globalese and the founders’ views […]
Engines from IT giants such as Google Translate, Microsoft, and Yandex often win in quality because search engine companies possess the whole internet as their data pool. However, with very specialized content and excellent translation memory, this advantage is nullified. In this case study, the engine from a smaller MT vendor Globalese won in all […]
Jourik Ciesielski trained a Google AutoML engine for an automotive customer in English to Spanish (Latam) language combination. As a result of training, only 17% segments needed editing after machine translation. In this case study we discuss the impact of training on the output generated by an MT engine. The technology behind this project is […]
A machine translation specialist is a new profession in high demand in the localization industry. Both translation companies and in-house localization teams hire fewer linguists. Meanwhile, demand for tech wizards grows. The role and the importance of an MT trainer is on the rise. As is the need to take care of intricate AI engine […]
Infographic Machine Translation trainers belong to a new professional category. It becomes more and more relevant in the localization industry. In 2021, an MT specialist will be one of the jobs in the spotlight in most LSPs and buy-side localization programs. Our team at Custom.MT collaborated with Effectiff. As a result, we present a list of tools MT […]
Infographic Translation memories are usually database-type files that contain previously translated texts. They also include the texts’ formatting and other properties. Some of the properties are defined by default (e.g., source and target language, date, time, the user ID or CAT tool that performed the translation, etc.), while others the user can add as custom […]