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BTTS 183 An Introduction to Machine Translation | Guess Papers of IGNOU

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BTTS 183 An Introduction to Machine Translation | Guess Papers of IGNOU

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BTTS 183 is a course that explores the fundamentals of machine translation, including its history, approaches, and applications. It provides an in-depth understanding of the challenges and techniques involved in translating between languages using computer systems.
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  • Theoretical Foundations
  • Statistical and Neural Machine Translation
  • Evaluation Metrics and Quality Estimation
  • Applications and Future Trends
Category : BACHELOR‘S DEGREE PROGRAMMES
Sub Category : Bachelor of Arts (BAG)
Products Code : BAG-SKIL-O-3.01
HSN Code : 490110
Language : English, English
Author : BMAP EDUSERVICES PVT LTD
Publisher : BMAP EDUSERVICES PVT LTD
University : IGNOU (Indira Gandhi National Open University)
Pages : 50
Weight : 157gms
Dimensions : 21.0 x 29.7 cm (A4 Size Pages)



Details

BTTS 183 An Introduction to Machine Translation is a comprehensive course designed to provide students with a solid foundation in the field of machine translation. This course delves into the fascinating world of automatic language translation using computer systems, exploring its rich history, various approaches, and practical applications.

#MachineTranslation #NaturalLanguageProcessing #ComputationalLinguistics #AI

By studying this course, students will gain valuable insights into the theoretical underpinnings of machine translation, including linguistic principles, mathematical models, and algorithmic techniques. They will also explore the latest advancements in statistical and neural machine translation, which have revolutionized the field and enabled more accurate and fluent translations.

Additionally, the course covers evaluation metrics and quality estimation methods, equipping students with the ability to assess the performance and reliability of machine translation systems. real-world applications and future trends in the field are also discussed, providing students with a comprehensive understanding of the potential and limitations of machine translation.

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