1.
NATURAL
LANGUAGE
PROCESSING
(NLP)
ZAHEEN BANO COURSE – LECTURE
SERIES

2.
HOW HUMAN COMMUNICATE WITH EACH
OTHER
Use natural language
I Use multiple language
English
Urdu
Punjabi
You ; interpreting – understand – reply
I understand
Human behavior become intelligent

3.
COMPUTER SHOULD REPLICATE THE SAME
THING
Copy the same
Computer interact with
Machine
Human
Implement the same human rules

4.
APPLICATIONS OF NLP
• Speech Recognition
• Widely used
• Google Assistant | Siri by Apple
• Valid Reply
• Sentimental Analysis
• Social Media | Tweet Analysis | Positive, Negative and Neutral
• Machine Translations
• Interpreter - Traditional
• Google Translation
• Validity increased
• Chat Bots
• EBay catboats
• Knowledge based reply

5.
NLP MODEL
Speech
Recognition
Natural
Language
Understanding
Natural
Language
Generation
NLU NL
G

6.
NLU : WHAT DO THE USER
SAY?
THEIR INTENT?
MEANING?
Challenges
•Lexical Ambiguity | The Tank was full
of water
•Syntactic Ambiguity | Old men and
women were take to safe place
•Semantic Ambiguity | The Car hit the
cycle while it was moving
•Pragmatic Ambiguity | The Police is
coming

7.
NATURAL LANGUAGE
GENERATION (NLG)
• What should we say to user?
• It should be intelligent and conversational
• Text and Sentence Planning
• Deal with structured data
CORPUS