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      Resources » Q & A » General Information


      B.Tech paper of NLP, December 2008, Himachal Pradesh University


      Posted Date:     Category: General Information    
      Author: Member Level: Diamond    
      Rating: 2 out of 52 out of 5Points: 10


      This is a question paper of Natural language Processing of B.Tech VII semester computer science students. The paper comes under the Himachal Pradesh University.


      B.Tech VIIth Semester Examination, Natural Language Processing,HPU, December 2008



      Note: Attempt five questions in all, selecting one from each Section A, B, C and D and all parts of Section E. All the sections carry equal marks (each question=20 marks).


      Section-A



      1.(a) What are the various issues in natural language processing? Explain.
      (b) How the natural language processing is different from processing of high level languages?

      2.Discuss the following:
      (a)The logical form.
      (b)Organization of NLP system.


      Section- B



      3.Describe the following:
      (a)Context free rules and trees.
      (b)Ambiguous grammar.

      4.Discuss how would you augment a parser to deal with input that may be incorrect, such as a spelling error or nonrecognition.


      Section- C



      5.Explain with example how the features are added to the RTN to produce ATN.

      6.What are the common techniques used for parsing of natural language structures? Explain with example.


      Section- D



      7.Write a note on Semantic grammar and Template matching.

      8.What are the issues in the Speech Recognition Systems? Discuss with example. Give the applications of speech recognition system also.


      Section- E



      9. Attempt all the questions:
      (a) What is the need of natural language generation system?
      (b) How do the grammars help in the processing of the natural languages?
      (c) Describe ontology.
      (d) What do you understand by N-grams?
      (e) Describe the properties of unification.
      (f) Differentiate between syntax and semantics of languages.
      (g) How the information extraction is different than data extraction.
      (h) Explain HMMs.


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