TAUS provided 172.980 segments of training data in French-German language pair, in a very specific area of the broadly legal domain for Custom MT, one of the latest and leading MT services companies delivering affordable machine translation engine training, evaluation, and integration.
Using the training data provided by TAUS, Custom MT trained a domain-specific MT engine for their client. To make sure the provided datasets were the perfect fit for the specific domain they were first examined by the linguists. After the training, they used a blind test and calculated the editing distance of the output the trained engine produced. Custom MT measured a 19% increase (+7.23 BLEU points) in the output for the French-German language pair.
Şölen is the Head of Digital Marketing at TAUS where she leads digital growth strategies with a focus on generating compelling results via search engine optimization, effective inbound content and social media with over seven years of experience in related fields. She holds BAs in Translation Studies and Brand Communication from Istanbul University in addition to an MA in European Studies: Identity and Integration from the University of Amsterdam. After gaining experience as a transcreator for marketing content, she worked in business development for a mobile app and content marketing before joining TAUS in 2017. She believes in keeping up with modern digital trends and the power of engaging content. She also writes regularly for the TAUS Blog/Reports and manages several social media accounts she created on topics of personal interest with over 100K followers.
Working as a collaborative partner, our language data for MT training solutions helped facilitate an MT experiment to inform the efficiency of automated translation processes for ING Hubs Poland
, a leading multinational banking and financial services corporation. The TAUS datasets improved the number of translations rated perfect by human testers by 15% and it was observed that the output from the engine trained with TAUS datasets will be better than the untrained 95% of the time in Anti Money Laundering (AML) and Human Resources (HR) domains.
Online machine translation engines provide easy access to high-quality machine translations. They are optimized for content like news articles and social media posts that users of online platforms frequently translate.