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Multilingual Artificial Intelligence

Peng Wang
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      Multilingual Artificial Intelligence is a guide for non-computer science specialists and learners looking to explore the implementation of AI technologies to solve real-life problems involving language data.Focusing on multilingual, multicultural, pre-trained large language models and their practical use through fine-tuning and prompt engineering, Wang and Smith demonstrate how to apply this new technology in areas such as information retrieval, semantic webs, and retrieval augmented generation, to improve both human productivity and machine intelligence. Finally, they discuss the human impact of language technologies in the cultural context, and provide an AI competence framework for users to design their own learning journey.This innovative text is essential reading for all students, professionals, and researchers in language, linguistics, and related areas looking to understand how to integrate multilingual and multicultural artificial intelligence technology into their research and practice.

      Format: Paperback / softback CONTRIBUTORS: Peng Wang EAN: 9781032747224 COUNTRY: United Kingdom PAGES: 164 WEIGHT: 330 g HEIGHT: 246 mm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2025-04-29 CITY: GENRE: COMPUTERS / Artificial Intelligence / Natural Language Processing, COMPUTERS / Data Science / Machine Learning, LANGUAGE ARTS & DISCIPLINES / Linguistics / General, LANGUAGE ARTS & DISCIPLINES / Translating & Interpreting WIDTH: 174 mm SPINE:

      Book Themes:

      Computational and corpus linguistics, Artificial intelligence

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      Peng Wang is an IT analyst and the chair of the Multilingual AI Track. She is the co-author of Machine Learning in Translation.Pete Smith is Professor of Modern Languages at the University of Texas Arlington, where he also serves as Chief Analytics and Data Officer.

      Multilingual Artificial Intelligence is a guide for non-computer science specialists and learners looking to explore the implementation of AI technologies to solve real-life problems involving language data.Focusing on multilingual, multicultural, pre-trained large language models and their practical use through fine-tuning and prompt engineering, Wang and Smith demonstrate how to apply this new technology in areas such as information retrieval, semantic webs, and retrieval augmented generation, to improve both human productivity and machine intelligence. Finally, they discuss the human impact of language technologies in the cultural context, and provide an AI competence framework for users to design their own learning journey.This innovative text is essential reading for all students, professionals, and researchers in language, linguistics, and related areas looking to understand how to integrate multilingual and multicultural artificial intelligence technology into their research and practice.

      Format: Paperback / softback CONTRIBUTORS: Peng Wang EAN: 9781032747224 COUNTRY: United Kingdom PAGES: 164 WEIGHT: 330 g HEIGHT: 246 mm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2025-04-29 CITY: GENRE: COMPUTERS / Artificial Intelligence / Natural Language Processing, COMPUTERS / Data Science / Machine Learning, LANGUAGE ARTS & DISCIPLINES / Linguistics / General, LANGUAGE ARTS & DISCIPLINES / Translating & Interpreting WIDTH: 174 mm SPINE:

      Book Themes:

      Computational and corpus linguistics, Artificial intelligence

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      Peng Wang is an IT analyst and the chair of the Multilingual AI Track. She is the co-author of Machine Learning in Translation.Pete Smith is Professor of Modern Languages at the University of Texas Arlington, where he also serves as Chief Analytics and Data Officer.

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