Match the LIST-I with LIST-II

LIST - I

LIST - II

A.

IIT, Kanpur

I.

MANTRA

B.

C-DAC

II.

SHIVA and SHAKTI

C.

NCST, Mumbai

III.

VYKARTA

D.

CMU, USA & IISC, Bangluru

IV.

ANGLABHARTI


Choose the correct answer from the options given below:

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UGC-NET Dec 2024 Library Science ( 16 Jan 2025)
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  1. A - III, B - I, C - II, D - IV
  2. A - I, B - III, C - IV, D - II
  3. A - IV, B - II, C - III, D - I
  4. A - II, B - IV, C - I, D - III

Answer (Detailed Solution Below)

Option 1 : A - III, B - I, C - II, D - IV
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The Correct answer is A - III, B - I, C - II, D - IV.

Note: There is Some Discrepancy in the answer as the official answer key mentions Option 1 as the right answer. 

Key Points

  • MANTRA:
    • MANTRA is a machine-assisted translation tool developed by C-DAC's Applied Artificial Intelligence Group.
    • It is designed to translate official government documents from English to Hindi.
    • Versions: Includes "MANTRA-Rajbhasha" for official document translation
  • SHIVA and SHAKTI:
    • Shiva and Shakti are two machine translation systems developed jointly by Carnegie Mellon University (USA), the International Institute of Information Technology, Hyderabad, and the Indian Institute of Science, Bangalore.
    • These systems translate English sentences into Hindi, Marathi, and Telugu.
    • Shiva: Example-based machine translation system.
    • Shakti: Combines rule-based and statistical approaches for rapid translation system development in new languages, with a focus on linguistic and semantic information.
  • VYKARTA:
    • C-DAC has developed ‘VYKARTA”, which can parse English, Hindi, Gujarati and Sanskrit.
    • The System is able to translate letters and circulars from English to Hindi.
  • ANGLABHARTI:
    • The AnglaBharti project, launched in 1991 by Professor Sinha et al. at the Indian Institute of Technology (IIT) Kanpur, is a machine-aided translation system designed to translate English into Indian languages.
    • Professor Sinha is a pioneer in machine translation research in India.
    • The system uses a general-purpose approach with provisions for domain customization, and its unique pseudo-interlingua approach analyzes English once to create an intermediate structure called Pseudo Lingua for Indian Languages (PLIL), avoiding the need for separate translators for each Indian language.
    • AnglaBharti-II, launched in 2004, improved the earlier version by addressing shortcomings.
    • It uses a Generalized Example-Base (GEB) and Raw Example-Base (REB) for hybridization. 
  • MaTra system::
    • The MaTra system, developed in 2004 by the Natural Language group of the Knowledge-Based Computer Systems (KBCS) division at the National Centre for Software Technology (NCST) in Mumbai (now CDAC, Mumbai), is a human-aided machine translation tool for translating English news stories into Hindi.
    • Supported by the TDIL Project, MaTra features a text categorization component that determines the type of news (e.g., political, economic, terrorism) before processing the story.
    • Based on the news type, it uses an appropriate dictionary.
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