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 […]
In this case study, our client is a medium-sized translation company in Moscow that specializes in the medical field. They are a regional leader in medical documentation, with tons of clinical studies, pharma labels, and Covid-19 announcements. The agency has experimented with a stock Yandex engine and contracted Custom.MT to see how far the improvement […]
Case study In this case study, we look at a machine translation engine training project with a French LSP. We trained a set of MT engines and evaluated the performance both automatically and with a human eye with the client’s pool of linguists. Language combination: French to English Domain: Financial documentation Training dataset: 607k parallel […]