History of NLP

Here, is are important events in the history of Natural Language Processing:

1950- NLP started when Alan Turing published an article called “Machine and Intelligence.”

1950- Attempts to automate translation between Russian and English

1960- The work of Chomsky and others on formal language theory and generative syntax

1990- Probabilistic and data-driven models had become quite standard

2000- A Large amount of spoken and textual data become available

Next in this NLP tutorial, we will learn How NLP works.

How Does NLP Work?

Before we learn how NLP works, let’s understand how humans use language-

Every day, we say thousand of a word that other people interpret to do countless things. We, consider it as a simple communication, but we all know that words run much deeper than that. There is always some context that we derive from what we say and how we say it., NLP in Artificial Intelligence never focuses on voice modulation; it does draw on contextual patterns.

Example:

Man is to woman as king is to __________?
Meaning (king) – meaning (man) + meaning ( woman)=?
The answer is-  queen

​Here, we can easily co-relate because man is male gender and woman is female gender. In the same way, the king is masculine gender, and its female gender is queen.

​The answer is we learn this thinks through experience. However, here the main question is that how computer know about the same?

We need to provide enough data for Machines to learn through experience. We can feed details like

Her Majesty the Queen.
The Queen’s speech during the State visit
The crown of Queen Elizabeth
The Queens’s Mother
The queen is generous.

With above examples the machine understands the entity Queen.

The machine creates word vectors as below. A word vector is built using surrounding words.

The machine creates these vectors

As it learns from multiple datasets
Use Machine learning (e.g., Deep Learning algorithms)
A word vector is built using surrounding words.

Here is the formula:

Meaning (king) – meaning (man) + meaning (woman)=?

This amounts to performing simple algebraic operations on word vectors:

Vector ( king) – vector (man) + vector (woman)= vector(?)

To which the machine answers queen.

Next in this Natural language processing tutorial, we will learn about Components of NLP some other time.

First section simple enough ? 🤔

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(Using Saycheese)
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✅ ROOTED ANDROID DEVICE or PC WITH LINUX or UBUNTY OPRATING SYSTEM
✅ Termux/Terminal

💠 STEP:-

✳️ Open termux
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🔰 What does HTTP Response Status Code Says? 🔰

List Of Most Commonly Shown Status Code Along With Their Saying👇

100 : Continue
101 : Switching Protocol
102: Processing (WebDAV)
103 : Early Hints
200: OK
201 : Created
202 : Accepted
203 : Non-Authoritative Information
204 : No Content
205 : Reset Content
206 : Partial Content
207 : Multi-Status (WebDAV)
208 : Already Reported (WebDAV)
226 : IM Used (HTTP Delta encoding)
300 : Multiple Choice
301 : Moved Permanently
302 : Found
303 : See Other
304 : Not Modified
305 : Use Proxy
306 : unused
307 : Temporary Redirect
308 : Permanent Redirect
400 : Bad Request
401 : Unauthorized
402 : Payment Required .
403 : Forbidden
404 : Not Found
405 : Method Not Allowed
406 : Not Acceptable
407 : Proxy Authentication Required
408 : Request Timeout
409 : Conflict
410 : Gone
411 : Length Required
412 : Precondition Failed
413 : Payload Too Large
414 : URI Too Long
415 : Unsupported Media Type
416 : Range Not Satisfiable
417 : Expectation Failed
418 : I'm a teapot
421 : Misdirected Request
422 : Unprocessable Entity (WebDAV)
423 : Locked (WebDAV)
424 : Failed Dependency (WebDAV)
425 : Too Early
426 : Upgrade Required
428 : Precondition Required
429 : Too Many Requests
431 : Request Header Fields Too Large
451 : Unavailable For Legal Reasons
500 : Internal Server Error
501 : Not Implemented
502 : Bad Gateway
503 : Service Unavailable
504 : Gateway Timeout
505 : HTTP Version Not Supported
506 : Variant Also Negotiates
507 : Insufficient Storage (WebDAV)
508 : Loop Detected (WebDAV)
510 : Not Extended
511 : Network Authentication Required

HTTP Response Status Codes Indicates Whether A Specific HTTP Request Has Been Successfully Completed

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