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JNTU B.Tech III NATURAL LANGUAGE PROCESSING Previous Question Paper (January/February - 2023 - R18)

B.Tech | III | I | R18 | January/February - 2023

Answer PaperPaper Code: 155CKMaximum Marks: 75Time: 3 Hours

Note: i) Question paper consists of Part A, Part B. ii) Part A is compulsory, which carries 25 marks. In Part A, Answer all questions. iii) In Part B, Answer any one question from each unit. Each question carries 10 marks and may have a, b as sub questions.

Part A

1a

Define allomorphs.

2 marks

Answer

An allomorph is a variant form of a single morpheme that occurs in different phonetic or morphological environments. While the meaning and function of the morpheme remain constant, its physical realization changes based on its context. For example, the English plural suffix morpheme /-s/ appears as [s] in 'cats', [z] in 'dogs', and [ɪz] in 'buses', making [s], [z], and [ɪz] allomorphs of the same plural morpheme.

1b

What is a lexeme? List its categories.

3 marks

Answer

A lexeme is the fundamental unit of lexical meaning in a language, representing the abstract entity that underlies all the inflected forms of a single word. For example, the forms "run," "runs," "ran," and "running" all belong to the same lexeme, typically represented by its lemma or dictionary form, "run."

Lexemes are generally categorized into two main groups:

  • Open-class lexemes (Content words): These carry the primary semantic content of a sentence and are an open set, meaning new words are frequently added. Examples include nouns, verbs, adjectives, and adverbs.
  • Closed-class lexemes (Function words): These provide grammatical structure and relationships between words. This is a fixed set that rarely changes. Examples include prepositions, conjunctions, determiners, and pronouns.
1c

What is the use of Treebank?

2 marks

Answer

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1d

Give an example of a phrase structure tree.

3 marks

Answer

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1e

What is the objective of semantic parsing?

2 marks

Answer

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1f

How to identify an event in text?

3 marks

Answer

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1g

List verbal predicates that demand two object arguments.

2 marks

Answer

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1h

Suggest the requirements for a meaning representation system.

3 marks

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1i

What is meant by cohesion in NLP?

2 marks

Answer

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1j

What is an n-Gram model?

3 marks

Answer

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Part B

2

Describe the following morphological models with illustrations:

10 marks
a

Dictionary lookup

5 marks

Answer

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b

Unification based morphology.

5 marks

Answer

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OR
3

Make a comparison of generative sequence classification methods and discriminative local classification methods for finding structure of the documents.

10 marks

Answer

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4

Elaborate the tokenization and parsing challenges in multilingual content.

10 marks

Answer

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OR
510 marks
a

Demonstrate shift-reduce parsing algorithm.

5 marks

Answer

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b

Explain the use of probabilistic context free grammars for ambiguity resolution in parsing.

5 marks

Answer

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6

Describe the methods for word sense disambiguation and the software support for it.

10 marks

Answer

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OR
7

Illustrate the methods for resolving entity and event in natural language.

10 marks

Answer

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8

Explain the usage of PropBank in semantic parsing.

10 marks

Answer

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OR
9

Provide a detailed description of meaning representation and its need.

10 marks

Answer

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10

Make a comparison of syntax based language model and factored language model.

10 marks

Answer

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OR
1110 marks
a

With an example, discuss demonstrative reference.

5 marks

Answer

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b

What is meant by anaphora resolution? Explain the methods used for it.

5 marks

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