Jingsong Shawn Yu, Yazhi Yao

Gebundenes Buch

Intelligent Language Services

Theory and Practice with Large Language Models

Beschreibung

Intelligent Language Services: Theory and Practice with Large Language Models offers a comprehensive exploration of how artificial intelligence, particularly large language models (LLMs), is revolutionizing the language services industry. This forward-thinking textbook bridges the gap between academic theory and real-world application, making it an essential resource for students, researchers, and professionals in translation, localization, and multilingual content development. The book guides readers through the evolution of the language services landscape, from traditional translation and interpreting to AI-driven automation and multimodal content production.

With practical case studies and cutting-edge insights, the book covers key topics such as human-AI collaboration in translation workflows, prompt engineering for large models, and the emerging role of AI-powered agents in content creation. The author examines not only the technical foundations of LLMs and NLP but also their impact on language services management, quality assurance, and compliance in the digital age. Chapters also delve into the nuances of fine-tuning models for translation services, designing intelligent workflows, and navigating the ethical responsibilities in AI-driven language operations.

Ideal for both classroom study and professional development, Intelligent Language Services empowers readers to understand and implement the most innovative AI technologies shaping the future of language services. Whether you're a linguist, AI expert, or language service provider, this book provides the tools, strategies, and knowledge needed to excel in an AI-enhanced world.

Autor

Jingsong Shawn Yu, Ph.D., is a Professor in the School of Software and Microelectronics at Peking University. He received his academic training at Zhejiang University, Peking University, and the University of Pittsburgh. After joining Peking University in August 2005, he co-founded the Language Information Engineering program and has since guided its strategic direction—designing its curriculum framework, building laboratory and data infrastructure, and overseeing day¿töday academic governance. He began his career as a programmer and development project manager at various organizations before joining the University of Pittsburgh as a systems librarian. This diverse career path enables him to connect software engineering, information management, and language technologies. He developed one of Peking University’s earliest massive open online courses, Principles and Practice of Computer-Aided Translation, and has been teaching it on edX, Coursera, and XuetangX, with cumulative global enrolments surpassing 80,000 learners. His research spans artificial intelligence, natural language processing, and digital humanities, with current focal areas including adaptive language instruction, optical character recognition for historical and classical texts, and computational processing of Classical Chinese. Collectively, his teaching, program building, and research contribute to advancing the integration of AI within modern language services and cultural heritage resources. Dr. Yao has contributed to the development of both a national standard and an industry standard in the language services sector. She brings more than two decades of professional translation practice covering railway engineering and technology as well as United Nations documentation. She was selected for the national multilingual translation talent pool at the Academy of Translation and Interpretation under the China International Communications Group. She serves as a translation review expert for national standards under agencies affiliated with the Ministry of Housing and Urban-Rural Development, the Ministry of Transport, and the Ministry of Public Security, and acts as Senior Translation Reviewer for Urban Rail Transit. Her integrated record of research, professional practice, and standardization work underscores a sustained commitment to advancing technology-enabled language services.

Produktdetails

• Verlag: Springer, Berlin; Springer
• Artikelnr. des Verlages: 89023597
• Erscheinungstermin: 10. Februar 2026
• Englisch
• Abmessung: 235mm x 155mm
• ISBN-13: 9789819546312
• ISBN-10: 9819546311
• Artikelnr.: 75636799