Natural language processing provides a way in which human interacts with computer / machines by means of voice. "Google Search by voice is the best example " which makes use of natural language processing..

1. A
Seminar on
Natural Language Processing
Presented by
Prashant Dahake
Mtech 1st sem (CSE)
Sub:- Artificial Intelligence
G.H. Raisoni College of Engineering Nagpur
Dept. of Computer Science & Engineering
2013-2014
1 1
1

2. Introduction
Natural Language?
 Refers to the language spoken by people, e.g.
English, Japanese, as opposed to artificial
languages, like C++, Java, etc.
Natural Language Processing?`
 NLP is the branch of computer science focused on
developing systems that allow computers to
communicate with people using everyday language.
 NLP is related to human -computer interaction.

3.  NLP encompasses anything a computer needs to
understand natural language and also generate natural
language.
 NLP is a subfield of artificial intelligence. Devoted to
make computers “understand” statements written in
human language.

4. Why Natural Language Processing?
•
•
•
•
•
kJfmmfj mmmvvv nnnffn333
Uj iheale eleee mnster vensi credur
Baboi oi cestnitze
Coovoel2^ ekk; ldsllk lkdf vnnjfj?
Fgmflmllk mlfm kfre xnnn!

5. Computers Lack Knowledge!
• Computers “see” text in English the same we have
seen the previous text!
• People have no trouble understanding language
– Common sense knowledge
– Reasoning capacity
– Experience
• Computers have
– No common sense knowledge
– No reasoning capacity
that’s why we need natural language processing.

6. Where does it fit in the Classification?
Computers
Databases
Robotics
Information
Retrieval
Artificial Intelligence
Algorithms
Networking
Search
Natural Language Processing
Machine
Translation
Language
Analysis
Semantics
Parsing

7. Steps in natural language processing
 Morphological
Analysis
 Syntactic Analysis
 Semantic Analysis
 Discourse Analysis
 Pragmatic Analysis

8. Morphological analysis
Individual words are analyzed into their component and
nonword tokens. punctuation are separated from word .
e.g carried= carry+ed
Syntactic analysis
.grammatical structure of sentence is analyze.
. some word sequence may be rejected if they violate the rules
of language . e.g syntactic analyzer reject the sentence
“Boy the go the to store”
Semantic analysis
. determine possible meaning of sentence.
. Sentence which has no meaning is rejected.
. For eg “ colorless green ideas ” has no meaning.

9. Discourse Analysis
. The meaning of an individual sentence may depends
on the sentence that precede it and may influence the
meaning of sentences that follow it.
e.g “john wanted it” the word ‘it’ depends upon john.
Pragmatic analysis
. It derives knowledge from external commonsense
information.
. It means understanding purposeful use of language in
situation.
e.g “ DO you know what time it is?”
should be interpreted as a request.

10. Application of NLP
Text-based applications
 searching for a certain topic in a data base .
 extracting information from a large document .
Dialogue based applications
 answering systems.
 Services provided over a telephone.
 voice controlled machines (that take instructions by speech)

11. What can we expect in the FUTURE
 In robotics
 in car

12. ou
ky
an
Th