Is a branch of artificial intelligence that uses computer software to understand input in the form of sentences using text or speech.

Enables human-computer interaction

Enables computers to communicate back to humans in their own languages

A subfield or artificial intelligence (AI), is a software process that automatically transforms data into plain-English content.

The technology can actually tell a story — exactly like that of a human analysts — by writing the sentences and paragraphs for you.

It is the process of producing a meaningful phrases and sentences in the form of natural language from some internal representation.

It includes retrieving the relevant content from knowledge base.

It includes choosing required words, forming meaningful phrases, setting tone of the sentence.

It is mapping sentence plan into sentence structure

Has an extremely rich form and structure. It is very ambiguous

It is at very primitive level such as word-level Example: treating the word “board” as noun or verb?

A sentence can be parsed in different ways Example: “He lifted the beetle with red cap.” — Did he use cap to lift the beetle or he lifted a bettle that had red cap?

Referring to something using pronouns. Example: Rima went to Gauri, She said, “I am tired.” — Exactly who is tired?

It is the study of organizing sound systematically

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

It is primitive unit of meaning in a language

It refers to arranging words to make a sentence.

It involves determining the structural role of words in the sentence an in phrases.

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

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

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

It includes the general knowledge about the world.

It involves identifying and analyzing the structure of words.

Is dividing the whole chunk of txt into paragraphs, sentences, and words.

____ of a language means the collection of words and phrases in a language.

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

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 object in the task domain. The semantic analyzer disregards sentence such as “hot ice-cream”

The meaning of any sentence depends upon the meaning of the sentence just before it.

It also brings about the meaning of immediately succeeding sentence

During this, what was said is re-interpreted on what it actually meant.

It involves deriving those aspects of language which require real world knowledge

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.

The field of NLP involves making computers to perform useful tasks with the natural languages humans use.

The input and output of an NLP system can be speech or written text.

Understanding involves the following tasks: - Mapping the given input in natural language into useful presentations - Analyzing different aspects of the language

NATURAL LANGUAGE PROCESSING (NLP) is what happens when computers read language.

NLP processes turn text into structured data.

NATURAL LANGUAGE GENERATION (NLG) is what happens when computers write languages

NLG processes turn structured data into text.

DEEP LEARNING and NLP are both parts of a larger field of study, Aritifical intelligence. While NLP is redefining how machines understand human language and behavior, DEEP LEARNING is further enriching the applications of NLP

NATURAL LANGUAGE PROCESSING (NLP) refers to AI method of communicating with an intelligent system using a natural language such as English

The components of NLP are NATURAL LANGUAGE UNDERSTANDING (NLU) and NATURAL LANGUAGE GENERATION (NLG).

The NLU is harder than NLG