Retresco
Christine Engelmann has extensive experience in computational linguistics and development, with a focus on natural language generation. Christine has worked on projects involving speech recognition, natural language understanding, and text-to-speech for high-profile clients in the automotive industry. Christine's expertise includes software development, training and evaluating machine learning models, coordinating data collection, and writing rules for semantic models. Christine holds a Master's degree in Speech and Language Processing from the University of Edinburgh, as well as a Master's degree in German Linguistics and a Bachelor's degree in Linguistics & Psychology.
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Retresco
Retresco is the leader in automated content, with an international and diverse client base. Its core business is to develop highly-efficient solutions for companies that want to improve how they use their content and data. Retresco uses open-source technology and semantic processes to help its customers improve the use of their content along every step of the value chain. Retresco goes further than just increasing user engagement and SEO – it works to streamline production processes, helping clients increase revenue. Unlike other companies, Retresco prefers to develop its own technology. This means that it is consistently able to think outside the box and come up with unique solutions. No matter what questions a client has, Retresco can supply the answer. Innovation forms the foundation of Retresco’s business. Its solutions are powered by the technology it develops and its thinking is not limited by the confines of proprietary software. Retresco has an incredible team drawn from a wide variety of backgrounds, expertise and nationalities. What unites them is the passion and motivation they have for their work.