STUPIDSID
Solve any one question from Q.1 & Q.2
1
Explain with a diagram organization of a natural language understanding system.
10 M
2
Describe all the levels of language understanding in natural language processing system.
10 M
Solve any one question from Q.3(a,b) & Q.4(a,b)
3(a)
Differentiate between the depth-first and breadth-first top down parsing.
5 M
3(b)
Describe simple top-down parsing algorithm.
5 M
4(a)
Describe augmented grammar use in natural language processing?
5 M
4(b)
Describe the Person and Number features used in natural language processing.
5 M
Solve any one question from Q.5(a,b) & Q.6(a,b)
5(a)
Describe lexical probabilities and techniques of obtaining them in natural language processing.
10 M
5(b)
Describe logical form as an intermediate representation in natural language processing with a diagram.
8 M
6(a)
Draw and explain shift-reduce parsing in natural language processing.
10 M
6(b)
Explain the human preferences in encoding uncertainty during parsing.
8 M
Solve any one question from Q.7(a,b) & Q.8(a,b)
7(a)
Explain lexical resource wordnet used in natural language processing.
8 M
7(b)
Describe probabilistic parsing in natural language processing.
8 M
8(a)
Explain the use of semantic web ontology.
8 M
8(b)
Explain word sense disambiguation in natural language processing.
8 M
Solve any one question from Q.9(a,b) & Q.10(a,b)
9(a)
Explain semantic web search with an example.
8 M
9(b)
How is natural language processing useful in an automatic text clustering probelm?
8 M
10(a)
Describe automatic machine translation problem.
8 M
10(b)
Explain the machine translation system evaluation tools.
8 M
More question papers from Natural Language Processing