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 its way of storing translation memories, but it is essential for all language service providers to share translation memories to carry out their activities.
Translation Memory eXchange (TMX) is an XML-based format designed for exchanging translation memories between different computer-aided translation and localization tools.
In this report, we provided a comparison of TMX Editors available on the market, useful for machine translation trainers to clean up and prepare datasets from translation memories.
High-res infographic is available here.
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 […]
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 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 […]
