Differences Between Natural Language Processing and Programming Language

Parameter

Natural language processing

Programming Language

Purpose

Connected in processing the human natural language, one of the sub-categories of AI

Way of writing instructions to the computer

Syntax

Generates human language syntax

Strict syntax for every language

Aim

enable computers to interact with human language

Solve the task and computational problems and do all manipulation

Works on

Works with unstructured and speech data

Works with structured data, variables, and program logic

Used by

data scientists, computational linguists and NLP experts

Programmers, software developers

Communication

Focuses on processing and understanding human language text data

Used for specifying algorithms and manipulation

Application

Chatbots, language translation, speech recognition, etc

develop software, applications and algorithms

Examples

machine translation, sentiment analysis

C,C++,java,python etc.

Error management

uses probabilistic models

through try-catch blocks

Tools

NLTK, TensorFlow

IDEs (Integrated Development Environments), compilers

Natural Language Processing(NLP) VS Programming Language

In the world of computers, there are mainly two kinds of languages: Natural Language Processing (NLP) and Programming Languages. NLP is all about understanding human language while programming languages help us to tell computers what to do. But as technology grows, these two areas are starting to overlap in cool ways, changing how we interact with machines.

This article will explain the basics of both NLP and programming languages, their differences, and how they’re beginning to work together. Let’s dive into the topic to understand the basic difference between them.

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What is Natural language processing?

Natural language processing is an area of research in computer science and artificial intelligence (AI) concerned with processing natural languages such as English or Mandarin. This processing generally involves translating natural language into data (numbers) that a computer can use to learn about the world. This understanding of the world is sometimes used to generate natural language text that reflects that understanding. A natural language processing system is often referred to as a pipeline because it usually involves several stages of processing where natural language flows in one end and the processed output flows out the other....

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