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A wide range of topics in the field of natural language processing (nlp), including pragmatic analysis, discourse integration, sentence moods, meta-knowledge in ai systems, top-down and deterministic parsing, morphological analysis, parts of speech tagging, and encoding ambiguity in logical form. The document also delves into the different applications of nlp, knowledge representation techniques, bottom-up chart parsing, handling questions in context-free grammar, best-first parsing, natural language understanding, semantic networks, and various types of knowledge. Additionally, the document explores top-down parsing algorithms, transition networks, movement phenomena in language, human preferences in parsing, probabilistic context-free grammar, logical form, and lexical probabilities. This comprehensive coverage of nlp concepts and techniques makes this document a valuable resource for students and researchers in the field.
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QP23EP1_290 | 09-06-2023 08:55:53 | 117.55.242.
Printed Pages:02 Sub Code: KOE- 088 Paper Id: 236098 Roll No.
Time: 3 Hours Total Marks: 100
Note: Attempt all Sections. If require any missing data; then choose suitably.
SECTION A
1. Attempt all questions in brief. 2 x 10 = 20
(a) Discuss pragmatic analysis? (b) Explain the term Discourse Integration. (c) Describe the basic moods of sentences. (d) Define meta knowledge related to AI systems. (e) Explain top down parser in brief. (f) Discuss morphological analysis? (g) Discuss Auxiliary verb with suitable example. (h) Discuss deterministic parser in brief. (i) Explain parts of speech tagging. (j) Explain encoding ambiguity in logical form.
SECTION B
2. Attempt any three of the following: 10x3=
(a) Discuss the different applications of Natural Language Processing in detail. (b) Explain the different techniques of knowledge representation. (c) Write down the bottom up chart parsing algorithm also explain with suitable example. (d) Discuss the process of handling questions in context free grammar. Explain with suitable example. (e) Discuss best first parsing in detail.
3. Attempt any one part of the following: 10x1=
(a) (^) Explain the different steps in natural language understanding in detail?
(b) Discuss Natural Language Processing and its components in detail.
4. Attempt any one part of the following: 10x1=
(a) Discuss the process of representation of knowledge using semantic networks? (b) Discuss knowledge. Explain the different types of knowledge.
5. Attempt any one part of the following: 10x1=
(a) Write & explain the top down parsing algorithm.
QP23EP1_290 | 09-06-2023 08:55:53 | 117.55.242.
(b) Discuss transition network. Explain the different types of transition network.
6. Attempt any one part of the following: 10x1=
(a) Elaborate Movement phenomenon in language. Discuss the different types of movement. (b) Explain human preferences in parsing in detail.
7. Attempt any one part of the following: 10x1=
(a) Discuss the concept of probabilistic context free grammar in detail. (b) Write short notes on (i) Logical Form (ii) Lexical Probabilities