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Natural Language Processing (NPL Terminology (Syntax: It concerns the…
Natural Language Processing
Introduction
The automatic manipulation of natural language, like speech and text, by software.
NLP is a way for computers to analyze, understand, and derive meaning from human language in a smart and useful way.
It is the relation between computer and human language.
NPL Terminology
Syntax:
It concerns the proper order of words and its effect on meaning.
Semantics:
It concerns the meaning of the word, sentences and phrases.
Morphology:
Construction of the word from primitive meaningful units.
Pragmatics:
It deals with using and understanding sentences in different situations and how the interpretation of the sentence is affected.
Phonology:
It refers to the systematic arrangement of sound.
Discourse:
It deals with how the immediately preceding sentence can affect the interpretation of the next sentence.
Components
Natural Language Understanding:
Involves mapping the given input into natural languages with useful representation.
Natural Language generation:
This is the process of converting back representative to natural language. It includes text planning, sentence planning, and text realization.
Application
Text Categorization:
Classify the document and assign them to predefined categories.
Dialogue Systems:
Dialogues systems which usually focus on a narrowly defined application.
Machine Translation:
It generally translate phrase from one language to another.
Summarization:
Can empower an implementation that reduces a larger text into a shorter.
Why NPL?
Computer program that understood text and speech.
Text is the largest repository of human knowledge and growing quickly.
A hallmark of human intelligence.
History
1970:
Pro log programming language is developed to support logic basic parsing.
1960:
ELIZA was created for conversation by using a pattern machine.
1980:
Created the system of chat-bot.
1950:
Alan Turning published now called as Turning Test.