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, […]
Infographic Machine Translation could signify a great boost for humanity, although being a rather niche business. According to research done over the last 2 years, it is calculated to have gained a 16% in growth. Important: MT is at least twice as big as TMS, and growing faster! Custom.MT Co-founder and researcher Konstantin Dranch has […]
The year 2021 marked the arrival of speech to speech translation in the commercial world.
Scientists are working on making the underlying technology smoother and more accurate, engineers are integrating it into practical use cases. At the same time, there is an explosion in neural voices. Between July and September, three companies in this area got funded, Murf.ai, Wellsaid Labs, and Lovo.ai. As a result, localization professionals can now choose from 20+ providers of pre-made voices, or even clone their own voice to generate personalized speeches.
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 […]
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 […]
Case Study 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 […]
Guest post by Jourik Ciesielski* Guest Case study Jourik Ciesielski trained a Google AutoML engine for an automotive customer in English to Spanish (Latam) language combination. As a result training, only 17% segments needed editing In this case study we discuss the impact of training on the output generated by an MT engine. The technology […]
Infographic Translation memories are usually database-type files that contain previously translated texts, their 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 can be added as custom attributes. Each CAT tool has […]
Case study 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 […]