AI Language Processing Interview Preparation Guide
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Artificial Intelligence Language Processing frequently Asked Questions in various AI Language Processing job Interviews by interviewer. Get preparation of Artificial Intelligence Language Processing job interview

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.

3 :: List the components of NLP?

There are two components of NLP as given:
★ 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.

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.

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

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?

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?

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

11 :: What is Phonology NLP Terminology?

It is study of organizing sound systematically.

12 :: What is Morphology NLP Terminology?

It is a study of construction of words from primitive meaningful units.

13 :: What is Morpheme NLP Terminology?

It is primitive unit of meaning in a language.

14 :: What is Syntax NLP Terminology?

It refers to arranging words to make a sentence. It also involves determining the structural role of words in the sentence and in phrases.

15 :: What is Semantics NLP Terminology?

It is concerned with the meaning of words and how to combine words into meaningful phrases and sentences.

16 :: What is Pragmatics NLP Terminology?

It deals with using and understanding sentences in different situations and how the interpretation of the sentence is affected.

17 :: What is Discourse NLP Terminology?

It deals with how the immediately preceding sentence can affect the interpretation of the next sentence.

18 :: What is World Knowledge NLP Terminology?

It includes the general knowledge about the world.

19 :: What is Semantic Analysis?

It draws the exact meaning or the dictionary meaning from the text. The text is checked for meaningfulness. It is done by mapping syntactic structures and objects in the task domain. The semantic analyzer disregards sentence such as "hot ice-cream".

20 :: What is Syntactic Analysis?

It involves analysis of words in the sentence for grammar and arranging words in a manner that shows the relationship among the words. The sentence such as "The school goes to boy" is rejected by English syntactic analyzer.