As a project manager at Intento, Inc., Claudia Siegenthaler MATLM ’23 is excited about the potential of artificial intelligence (AI) to transform the language service industry. With her background in Translation Technology and Website Translation from the Middlebury Institute, Claudia has gained the technical expertise to understand how AI can be leveraged to improve localization processes.
The Role of AI in Localization
AI is poised to revolutionize the localization industry by automating error-fixing tasks, allowing linguists to focus on what matters most – bringing cultural nuance and context to translations. Claudia notes that customers are increasingly looking to use AI agents to streamline their translation workflows, enabling their linguists to produce high-quality content more efficiently.
Building Technical Expertise
Claudia’s experience with the Middlebury Institute’s Translation Technology and Website Translation classes has been invaluable in her role as a project manager. She has gained a deep understanding of the technical aspects of AI and machine translation, which enables her to communicate effectively with clients and simplify complex technical concepts.
Trends to Track
Claudia recently moderated a webinar on “Debunking Myths about LLMs and Machine Translation,” where experts discussed the potential of large language models (LLMs) to handle specialized content. The webinar highlighted the growing use of LLMs in creative copy and the application of LLM-based glossaries in translation workflows. As AI continues to evolve, it’s clear that it will have a significant impact on the localization industry, enabling translators to produce more content with the same human touch, and providing end-users with a better experience.
Conclusion
The future of localization is exciting, and Claudia’s experience demonstrates the importance of embracing AI in the industry. By leveraging AI and building technical expertise, professionals in the field can stay ahead of the curve and deliver high-quality content to their clients.
