i. Segment into sentences
ii. Estimate the French language model
iii. Align sentences
iv. Estimate the initial fertility model
v. Estimate the initial word choice model
vi. Estimate the initial offset model
vii. Improve all the estimates.
Description : What is Machine Translation? a) Converts one human language to another b) Converts human language to machine language c) Converts any human language to English d) Converts Machine language to human language
Last Answer : a) Converts one human language to another
Description : What are the types of machine translation?
Last Answer : i. Rough translation ii. Restricted source translation iii. Pre edited translation iv. Literacy translation
Description : Neural Networks are complex ______________ with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions
Last Answer : a) Linear Functions
Description : Neural Networks are complex ______________with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions
Last Answer : b) Nonlinear Functions
Description : A search algorithm takes _________ as an input and returns ________ as an output. a) Input, output b) Problem, solution c) Solution, problem d) Parameters, sequence of actions
Last Answer : b) Problem, solution
Description : A Personal Consultant knowledge base contain information in the form of __________ a) parameters b) contexts c) production rules d) all of the mentioned
Last Answer : d) all of the mentioned
Description : Neural Networks are complex ———————–with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions e) Power Functions
Description : What are the 2 steps in mixture model parameters?
Last Answer : i. E – Step ii. M – Step
Description : The “Turing Machine” showed that you could use a/an _____ system to program any algorithmic task. a) binary b) electro-chemical c) recursive d) semantic
Last Answer : a) binary
Description : What is Machine learning? a) The autonomous acquisition of knowledge through the use of computer programs b) The autonomous acquisition of knowledge through the use of manual programs c) The ... use of computer programs d) The selective acquisition of knowledge through the use of manual programs
Last Answer : a) The autonomous acquisition of knowledge through the use of computer programs
Description : What is Machine learning? A. The autonomous acquisition of knowledge through the use of computer programs B. The autonomous acquisition of knowledge through the use of manual programs C. The ... use of computer programs D. The selective acquisition of knowledge through the use of manual programs
Last Answer : A. The autonomous acquisition of knowledge through the use of computer programs
Description : In ____ the goal is for the software to use what it has learned in one area to solve problems in other areas. A. Machine Learning B. Deep Learning C. Neural Networks D. None of these
Last Answer : B. Deep Learning
Description : The cray X-MP, IBM 3090 and connection machine can be characterized as ____________ a) SISD b) SIMD c) MISD d) MIMD
Last Answer : b) SIMD
Description : What is a Cybernetics? a) Study of communication between two machines b) Study of communication between human and machine c) Study of communication between two humans d) Study of Boolean values
Last Answer : b) Study of communication between human and machine
Description : The characteristics of the computer system capable of thinking, reasoning and learning are known as ____________ a) machine intelligence b) human intelligence c) artificial intelligence d) virtual intelligence
Last Answer : c) artificial intelligence
Description : Modern NLP algorithms are based on machine learning, especially statistical machine learning. a) True b) False
Last Answer : a) True
Description : Which of the following is an example of active learning? a) News Recommender system b) Dust cleaning machine c) Automated vehicle d) None of the mentioned
Last Answer : a) News Recommender system
Description : How many types are available in machine learning? a) 1 b) 2 c) 3 d) 4
Last Answer : c) 3
Description : What is Artificial intelligence? a) Putting your intelligence into Computer b) Programming with your own intelligence c) Making a Machine intelligent d) Playing a Game
Last Answer : c) Making a Machine intelligent
Description : The Cedar, BBN Butterfly, Cosmic Cube and Hypercube machine can be characterized as _____________ a) SISD b) MIMD c) SIMD d) MISD
Last Answer : b) MIMD
Description : Which company offers the LISP machine considered “the most powerful symbolic processor available”? a) LMI b) Symbolics c) Xerox d) Texas Instruments
Last Answer : b) Symbolics
Description : Texas Instruments Incorporated produces a low-cost LISP machine called __________ a) The Computer-Based Consultant b) The Explorer c) Smalltalk d) The Personal Consultant
Last Answer : b) The Explorer
Description : Transparency A . The large set of candidate solutions possible for a problem B. The information stored in a database that can be retrieved with a single query C. Worth of the output of a machine learning program that makes it understandable for humans D . None of these
Last Answer : C. Worth of the output of a machine learning program that makes it understandable for humans
Description : Shallow knowledge A . The large set of candidate solutions possible for a problem B. The information stored in a database that can be, retrieved with a single query C. Worth of the output of a machine learning program that makes it understandable for humans D . None of these
Last Answer : B. The information stored in a database that can be, retrieved with a single query
Description : Search space A . The large set of candidate solutions possible for a problem B. The information stored in a database that can be, retrieved with a single query. C. Worth of the output of a machine learning program that makes it understandable for humans D . None of these
Last Answer : A . The large set of candidate solutions possible for a problem
Description : Massively parallel machine is A. A programming language based on logic B. A computer where each processor has its own operating system, its own memory, and its own hard disk C. Describes the structure of the contents of a database. D. None of these
Last Answer : B. A computer where each processor has its own operating system, its own memory, and its own hard disk
Description : Artificial intelligence is A . It uses machine-learning techniques. Here program can learn From past experience and adapt themselves to new situations B. Computational procedure that takes some ... performs tasks that would require intelligence when performed by humans D . None of these
Last Answer : C. Science of making machines performs tasks that would require intelligence when performed by humans
Description : Following is an example of active learning: a) News Recommender system b) Dust cleaning machine c) Automated vehicle d) None of the mentioned
Description : What is Artificial intelligence? a. Putting your intelligence into Computer b. Programming with your own intelligence c. Making a Machine intelligent d. Putting more memory into Computer
Last Answer : c. Making a Machine intelligent
Description : What are the types of machine learning?
Last Answer : i. Supervised Learning ii. Unsupervised Learning iii. Reinforcement Learning
Description : Machine learning invent by _____. A. John McCarthy B. Nicklaus Wirth C. Joseph Weizenbaum D. Arthur Samuel
Last Answer : D. Arthur Samuel
Description : Deep learning is a subfield of machine learning where concerned algorithms are inspired by the structured and function of the brain called _____. A. Machine learning B. Artificial neural networks C. Deep learning D. Robotics
Last Answer : B. Artificial neural networks
Description : K-means, self-organizing maps, hierarchical clustering are the example of _____. A. Supervised learning B. Unsupervised learning C. Machine learning D. Deep learning
Last Answer : B. Unsupervised learning
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 : ______________is a branch of science that deals with programing the systems in such a way that they automatically learn and improve with experience A. Machine Learning B. Deep Learning C. Neural Networks D. None of these
Last Answer : A. Machine Learning
Description : _________machines will have their own consciousness and sentiments A. Reactive machine B. Theory of mind C. Self-Awareness D. Both B & C
Last Answer : C. Self-Awareness
Description : Which machines will be smarter than human mind? A. Reactive machine B. Limited memory C. Theory of mind D. Self-Awareness
Last Answer : D. Self-Awareness
Description : Which AI should understand the human emotions, people, and beliefs and be able to interact socially like humans. A. Reactive machine B. Limited memory C. Theory of mind D. None of above
Last Answer : C. Theory of mind
Description : Self-driving car is example of ____. A. Reactive machine B. Limited memory C. Theory of mind D. None of above
Last Answer : Ans: B [Car stores recent speed of nearby cars, distance of others car, speed limit, other information to navigate the road]
Description : Which can stores past experiences or some data for short period time. A. Reactive machine B. Limited memory C. Theory of mind D. None of above
Last Answer : B. Limited memory
Description : Google Alpha Go is example of ____. A. Reactive machine B. Limited memory C. Theory of mind D. None of above
Last Answer : A. Reactive machine
Description : IBM’s deep blue system is example of ___. A. Reactive machine B. Limited memory C. Theory of mind D. None of above
Description : Which machines only focus on current scenarios and react on it as per as possible best action. A. Reactive machine B. Limited memory C. Theory of mind D. None of above
Description : Which AI system not store memories or past experiences for future actions. A. Reactive machine B. Limited memory C. Theory of mind D. None of above
Description : Machine can perform any task better than human with cognitive properties is known as ___ AI. A. Narrow AI B. General AI C. Super AI D. None of above
Last Answer : C. Super AI
Description : Human to Machine is _____ and Machine to Machine is ______. A. Process, Process B. Process, Program C. Program, Hardware D. Program, Program
Last Answer : C. Program, Hardware
Description : PROLOG, LISP, NLP are the language of ____ A. Artificial Intelligence B. Machine Learning C. Internet of Things D. Deep Learning
Last Answer : A. Artificial Intelligence