Natural Language generation is the main task of Natural language processing.
a) True
b) False
Explanation: Natural Language Generation is to Convert information from computer databases into readable human language.
OCR (Optical Character Recognition) uses NLP.
a) True
b) False
Explanation: Given an image representing printed text, determines the corresponding text.
Parts-of-Speech tagging determines………..
a) part-of-speech for each word dynamically as per meaning of the sentence
b) part-of-speech for each word dynamically as per sentence structure
c) all part-of-speech for a specific word given as input
d) all of the mentioned
Explanation: A Bayesian network provides a complete description of the domain.
Many words have more than one meaning; we have to select the meaning which makes the most sense in context. This can be resolved by………..
a) Fuzzy Logic
b) Word Sense Disambiguation
c) Shallow Semantic Analysis
d) All of these
Explanation: Shallow Semantic Analysis doesn’t cover word sense disambiguation.
Given a sound clip of a person or people speaking, determine the textual representation of the speech.
a) Text-to-speech
b) Speech-to-text
c) both a and b
d) None of these
Explanation: NLP is required to linguistic analysis.
Speech Segmentation is a subtask of Speech Recognition.
a) True
b) False
