Description : Which object recognition process is an error-prone process? a) Bottom-up segmentation b) Top-down segmentation c) Both Bottom-up & Top-down segmentation d) None of the mentioned
Last Answer : a) Bottom-up segmentation
Description : For speech understanding systems to gain widespread acceptance in office automation, they must feature ____________ a) speaker independence b) speaker dependence c) isolated word recognition d) all of the mentioned
Last Answer : a) speaker independence
Description : Which approach to speech recognition avoids the problem caused by the differences in the way words are pronounced according to context? a) continuous speech recognition b) connected word recognition c) isolated word recognition d) speaker-dependent recognition
Last Answer : c) isolated word recognition
Description : What is viewed as problem of probabilistic inference? a) Speech recognition b) Speaking c) Hearing d) Utterance
Last Answer : a) Speech recognition
Description : What kind of signal is used in speech recognition? a) Electromagnetic signal b) Electric signal c) Acoustic signal d) Radar
Last Answer : c) Acoustic signal
Description : What kind of perception is used in printing? a) Optical character recognition b) Speech recognition c) Perception d) None of the mentioned
Last Answer : a) Optical character recognition
Description : Where does the Hidden Markov Model is used? a) Speech recognition b) Understanding of real world c) Both Speech recognition & Understanding of real world d) None of the mentioned
Description : When talking to a speech recognition program, the program divides each second of your speech into 100 separate __________ a) Codes b) Phonemes c) Samples d) Words
Last Answer : c) Samples
Description : Which of the following is not an application of learning? a) Data mining b) WWW c) Speech recognition d) None of the mentioned
Last Answer : d) None of the mentioned
Description : Playing chess, purchasing suggestions on e-commerce site, self-driving cars, speech recognition, and image recognition are the example of ____. A. Narrow AI B. General AI C. Super AI D. None of above
Last Answer : A. Narrow AI
Description : OCR (Optical Character Recognition) uses NLP. a) True b) False
Last Answer : a) True
Description : Given a stream of text, Named Entity Recognition determines which pronoun maps to which noun. a) False b) True
Last Answer : a) False
Description : Which of the following is true? Single layer associative neural networks do not have the ability to: (i) perform pattern recognition (ii) find the parity of a picture (iii)determine whether two or more shapes in ... ) are true b) (ii) is true c) All of the mentioned d) None of the mentioned
Last Answer : a) (ii) and (iii) are true
Description : Which of the following is true? Single layer associative neural networks do not have the ability to: (i) perform pattern recognition (ii) find the parity of a picture (iii)determine whether two or more shapes in a ... ) are true b) (ii) is true c) All of the mentioned d) None of the mentioned
Description : What is Morphological Segmentation? a) Does Discourse Analysis b) Separate words into individual morphemes and identify the class of the morphemes c) Is an extension of propositional logic d) None of the mentioned
Last Answer : b) Separate words into individual morphemes and identify the class of the morphemes
Description : What is the process of breaking an image into groups? a) Edge detection b) Smoothing c) Segmentation d) None of the mentioned
Last Answer : c) Segmentation
Description : Define Segmentation?
Last Answer : The process of finding the words boundaries in a text with no spaces.
Description : What are the two subfields of Natural language processing? a) context and expectations b) generation and understanding c) semantics of pragmatics d) recognition and synthesis
Last Answer : b) generation and understanding
Description : How many types of recognition are there in artificial intelligence? a) 1 b) 2 c) 3 d) 4
Last Answer : c) 3
Description : The Face Recognition system is based on? a) Strong Artificial Intelligence approach b) Weak Artificial Intelligence approach c) Cognitive Artificial Intelligence approach d) Applied Artificial Intelligence approach
Last Answer : d) Applied Artificial Intelligence approach
Description : Artificial neural network used for A. Pattern Recognition B. Classification C. Clustering D. All of these
Last Answer : D. All of these
Description : Classifying email as a spam, labeling webpages based on their content, voice recognition are the example of _____. A. Supervised learning B. Unsupervised learning C. Machine learning D. Deep learning
Last Answer : A. Supervised learning
Description : State true of false. i) With paging, each process is divided into relatively small, fixed-size pages. ii) Segmentation provides for the use of pieces of varying size. A) Partition management B) Memory management C) Disk management D) All of the above
Last Answer : B) Memory management
Description : 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) All of the mentioned d) None of the mentioned
Last Answer : b) Speech-to-text
Description : 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
Last Answer : d) all of the mentioned
Description : Which model gives the probability of each word following each other word? a) Bigram model b) Diagram model c) Gram model d) Speech model
Last Answer : a) Bigram model
Description : What is the dominant modality for communication between humans? a) Hear b) Speech c) Smell d) None of the mentioned
Last Answer : b) Speech
Description : What is the complex system of structured message? a) Languages b) Words c) Signs d) Speech
Last Answer : a) Languages
Description : What is the intentional exchange of information brought about by production and perception? a) Hearing b) Communication c) Speech d) None of the mentioned
Last Answer : b) Communication
Description : What will take place as the agent observes its interactions with the world? a) Learning b) Hearing c) Perceiving d) Speech
Last Answer : a) Learning
Description : Which is the only way to learn about the different kinds of human faces? a) Perception b) Speech c) Learning d) Hearing
Last Answer : c) Learning
Description : What enables people to recognize people, animals and inanimate objects reliably? a) Speech b) Vision c) Hear d) Perception
Last Answer : b) Vision
Description : Which of the following contains the output segments of Artificial Intelligence programming? a) Printed language and synthesized speech b) Manipulation of physical object c) Locomotion d) All of the mentioned
Last Answer : d) All of the mentioned
Description : IR (information Retrieval) and IE (Information Extraction) are the two same thing. a) True b) False
Last Answer : b) False
Description : Natural Language generation is the main task of Natural language processing. a) True b) False
Description : The more general task of coreference resolution also includes identifying so-called “bridging relationships” involving referring expressions. a) True b) False
Description : Modern NLP algorithms are based on machine learning, especially statistical machine learning. a) True b) False
Description : NLP is concerned with the interactions between computers and human (natural) languages. a) True b) False
Description : Decision Trees can be used for Classification Tasks. a) True b) False
Description : Decision Tree is a display of an algorithm. a) True b) False
Description : A perceptron adds up all the weighted inputs it receives, and if it exceeds a certain value, it outputs a 1, otherwise it just outputs a 0. a) True b) False c) Sometimes – it can also output intermediate values as well d) Can’t say
Description : Like relational databases there does exists fuzzy relational databases. a) True b) False
Description : Japanese were the first to utilize fuzzy logic practically on high-speed trains in Sendai. a) True b) False
Description : Fuzzy logic is extension of Crisp set with an extension of handling the concept of Partial Truth. a) True b) False
Description : Traditional set theory is also known as Crisp Set theory. a) True b) False
Description : The primitives in probabilistic reasoning are random variables. a) True b) False
Description : Using logic to represent and reason we can represent knowledge about the world with facts and rules. a) True b) False
Description : A re-planning agent uses execution monitoring and splices in repairs as needed. a) True b) False
Description : Conditional Plans allows the agent to sense the world during execution to decide what branch of plan to follow. a) True b) False