Exam Details
Subject | elective – i : natural language procesing | |
Paper | ||
Exam / Course | f.y. m.tech. (civil -structural engg.) | |
Department | ||
Organization | solapur university | |
Position | ||
Exam Date | 12, December, 2018 | |
City, State | maharashtra, solapur |
Question Paper
F.Y. M.Tech. (Computer Science and Engineering) (Semester
(New CBCS) Examination, 2018
Elective I natural language procesing
Day and Date Wednesday, 12-12-2018 Total Marks 70
Time 10.00 a.m. to 1.00 p.m.
Instructions All questions are compulsory.
Figures to the right indicate full marks.
Assume suitable data where necessary.
section i
1. Answer briefly any three. 15
How is Articulation dealt with
Generate a diagrammatic representation of a Lexical Knowledge
network.
C ompare between word nets and Multi-lingual dictionaries.
C omment on Metaphors and co references used in Word net Theory.
What is Machine based Morphology
2. Attempt any two. 10
List and elaborate on different theories used in Parsing.
How is the morphological diversity of Indian Languages dealt with
Demonstrate multilinguality with an illustration.
3. Attempt any two. 10
What are the paradigms used for Morphological analysis
I llustrate scope ambiguity and attachment ambiguity resolution.
How is sequence labeling used in parsing
Set P
section iI
4. Answer briefly any three. 15
List the graphical models of sequence labeling in NLP.
How are sentiments and opinions dealt with on the web
Define the term 'Machine Translation' and illustrate.
Give the exact meanings of the terms 'Precision' and 'Recall'.
Why is Phonology required
5. Attempt any two. 10
Develop the basic properties of Baum Welch Algorithm.
How does GISA++ and MOSES work
Compare HMM and CLIR.
6. Attempt any two. 10
How does Viterbi Algorithm work
What is POS tagging Where is it used
List the different applications of NLP. Illustrate one of these.
(New CBCS) Examination, 2018
Elective I natural language procesing
Day and Date Wednesday, 12-12-2018 Total Marks 70
Time 10.00 a.m. to 1.00 p.m.
Instructions All questions are compulsory.
Figures to the right indicate full marks.
Assume suitable data where necessary.
section i
1. Answer briefly any three. 15
How is Articulation dealt with
Generate a diagrammatic representation of a Lexical Knowledge
network.
C ompare between word nets and Multi-lingual dictionaries.
C omment on Metaphors and co references used in Word net Theory.
What is Machine based Morphology
2. Attempt any two. 10
List and elaborate on different theories used in Parsing.
How is the morphological diversity of Indian Languages dealt with
Demonstrate multilinguality with an illustration.
3. Attempt any two. 10
What are the paradigms used for Morphological analysis
I llustrate scope ambiguity and attachment ambiguity resolution.
How is sequence labeling used in parsing
Set P
section iI
4. Answer briefly any three. 15
List the graphical models of sequence labeling in NLP.
How are sentiments and opinions dealt with on the web
Define the term 'Machine Translation' and illustrate.
Give the exact meanings of the terms 'Precision' and 'Recall'.
Why is Phonology required
5. Attempt any two. 10
Develop the basic properties of Baum Welch Algorithm.
How does GISA++ and MOSES work
Compare HMM and CLIR.
6. Attempt any two. 10
How does Viterbi Algorithm work
What is POS tagging Where is it used
List the different applications of NLP. Illustrate one of these.
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