Consistent terms and names throughout a translation are essential. Without consistency, branding opportunities are lost and usability of a product is hampered. We will look at examples from the industry that demonstrate the opportunity cost of not managing terminology. You will get ideas about what you could measure today to implement terminology management tomorrow. Once you have made the decision to manage terminology, how do you get there?
AI and Deep Learning have brought dramatic improvements in efficiency and overall quality to a variety of industries. In the language sector, current AI use cases include chatbots for customer queries, named entity recognition for unstructured texts, and enhanced workflow automation. Can adoption of these technologies change the game for LSPs? Join us as three suppliers discuss how they are preparing to use AI technology to increase their competitive advantage and improve customer satisfaction.
Since both the end-users and the translators involved in our projects at Avantpage, Inc. are often immigrants, our company has multiple opportunities to meet its mission to empower immigrants to reach their American dream. For the quality area, this can be concretely applied through the purposeful use of consistent terminology in our translations. To this end, we investigated whether editors were marking glossary violations as often as they occurred.
In an increasingly global economy, many language service providers continue to expand their network of linguists and suppliers in order to meet the needs of their clients. As a result, LSP’s need a secure, timely, and efficient way to pay their diverse network of linguists located around the globe. At the end of the day, the money they receive helps to ensure they deliver the best service to the end user, while receiving funds to support their livelihood. Join us as we discuss the challenges that LSP’s and linguists face and the different payment options available to them.
Data will soon become the primary driving force for major transformation in the language services industry. Beyond shaping delightful user experiences, how can data tighten collaboration and deliver greater value to customers and LSPs alike? This webinar examines how machine learning technologies enable LSPs and customers to establish shared goals, uncover joint opportunities, and maximize business impact. Attendees will learn how machine learning is producing predictive translation data, and what AI tools LSPs must embrace to keep pace with market demand.