AI Language Processing Interview Preparation Guide
Enhance your AI Language Processing interview preparation with our set of 26 carefully chosen questions. Each question is designed to test and expand your AI Language Processing expertise. Suitable for all experience levels, these questions will help you prepare thoroughly. Get the free PDF download to access all 26 questions and excel in your AI Language Processing interview. This comprehensive guide is essential for effective study and confidence building.26 AI Language Processing Questions and Answers:
1 :: What is Artificial intelligence Language Processing?
Artificial intelligence language processing (AILP) is a field of computer science and linguistics concerned with the interactions between computers and human (natural) languages; it began as a branch of artificial intelligence. In theory, natural language processing is a very attractive method of human–computer interaction. Natural language understanding is sometimes referred to as an AI-complete problem because it seems to require extensive knowledge about the outside world and the ability to manipulate it.
2 :: What is Natural Language Processing?
Natural Language Processing (NLP) refers to AI method of communicating with an intelligent systems using a natural language such as English.
Processing of Natural Language is required when you want an intelligent system like robot to perform as per your instructions, when you want to hear decision from a dialogue based clinical expert system, etc.
Processing of Natural Language is required when you want an intelligent system like robot to perform as per your instructions, when you want to hear decision from a dialogue based clinical expert system, etc.
3 :: List the components of NLP?
There are two components of NLP as given:
★ Natural Language Understanding (NLU)
★ Natural Language Generation (NLG)
★ Natural Language Understanding (NLU)
★ Natural Language Generation (NLG)
4 :: What is Natural Language Understanding (NLU)?
Understanding involves the following tasks −
Mapping the given input in natural language into useful representations.
Analyzing different aspects of the language.
Mapping the given input in natural language into useful representations.
Analyzing different aspects of the language.
5 :: What is Natural Language Generation (NLG)?
It is the process of producing meaningful phrases and sentences in the form of natural language from some internal representation.
It involves:
Text planning:
It includes retrieving the relevant content from knowledge base.
Sentence planning:
It includes choosing required words, forming meaningful phrases, setting tone of the sentence.
Text Realization:
It is mapping sentence plan into sentence structure.
It involves:
Text planning:
It includes retrieving the relevant content from knowledge base.
Sentence planning:
It includes choosing required words, forming meaningful phrases, setting tone of the sentence.
Text Realization:
It is mapping sentence plan into sentence structure.
6 :: Explain Difficulties in NLU?
NL has an extremely rich form and structure.
It is very ambiguous. There can be different levels of ambiguity:
★ Lexical ambiguity
★ Syntax Level ambiguity
★ Referential ambiguity
It is very ambiguous. There can be different levels of ambiguity:
★ Lexical ambiguity
★ Syntax Level ambiguity
★ Referential ambiguity
7 :: What is Lexical ambiguity?
It is at very primitive level such as word-level.
For example, treating the word "board" as noun or verb?
For example, treating the word "board" as noun or verb?
8 :: What is Syntax Level ambiguity?
A sentence can be parsed in different ways.
For example, "He lifted the beetle with red cap." − Did he use cap to lift the beetle or he lifted a beetle that had red cap?
For example, "He lifted the beetle with red cap." − Did he use cap to lift the beetle or he lifted a beetle that had red cap?
9 :: What is Referential ambiguity?
Referring to something using pronouns. For example, Rima went to Gauri. She said, "I am tired." − Exactly who is tired?
10 :: What are the terminologies of NLP?
★ Phonology
★ Morphology
★ Morpheme
★ Syntax
★ Semantics
★ Pragmatics
★ Discourse
★ World Knowledge
★ Morphology
★ Morpheme
★ Syntax
★ Semantics
★ Pragmatics
★ Discourse
★ World Knowledge