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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 provides a comprehensive overview of machine translation, focusing on its relevance to journalism and digital media. This guide helps students excel in exams by covering essential topics and questions.
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  • Covers key topics essential for exams
  • Includes 50-60 pages of important questions
  • Helps in understanding machine translation concepts
  • Tailored for IGNOU Guess Papers
Category : FOUR-YEAR UNDERGRADUATE PROGRAMMES
Sub Category : Bachelor of Arts (Journalism and Digital Media)
Products Code : FYUP-BAFJDM-GP
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

The book BTTS 183 An Introduction to Machine Translation is an invaluable resource for IGNOU students pursuing a degree in Journalism and Digital Media. It covers critical topics in machine translation that are highly relevant to the field. This comprehensive guide not only provides a deep understanding of the subject but also includes 50-60 pages of important questions, making it an excellent tool for exam preparation. By focusing on key areas highlighted in IGNOU's guess papers, this book ensures that students can concentrate on the most important aspects, boosting their chances of success.

Benefits:

  • Focused Content: Helps students prepare by focusing on the most relevant topics for exams.
  • Time-Saving: With well-organized content and important questions, it reduces study time by providing all essential information in one place.
  • Exam-Oriented: Designed based on IGNOU's previous exam patterns, ensuring that students are well-prepared for likely questions.
  • Improved Understanding: Offers a simplified explanation of complex concepts, making it easier to grasp machine translation in the context of journalism.

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The IGNOU solved assignments and guess papers provided on this platform are for reference purposes only and should not be used to engage in educational dishonesty. These materials serve as learning and study tools and are not intended for submission as original work. Users are responsible for using these materials ethically and in accordance with their educational institution's guidelines. We do not assume liability for any misuse or consequences resulting from the use of these materials. By accessing and utilizing these resources, users agree to this disclaimer.

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