Natural Language Processing
#TeamNoFrazzle
NAZMUL AHSAN 151-15-4668
MAHBUBUR RAHMAN151-15-4761
FARHAN TAWSIF CHOWDHURY151-15-4705
SANZIDUL ISLAM151-15-5223
SADIA SULTANA SHARMIN MOUSUMI 151-15-5191
Natural language processing is a sector of artificial intelligence that can analysis human language.
Background history :
CAN MACHINE THINK ?
Stanford NLP GROUP :• A group from Stanford university developed some software.• One of them is Core Stanford NLP .written in Java.• Packages are widely used in industry, academia, and government.
Well known now-a-days :• Voice search• Translator• Information retrieval• Captcha Challenge• Different types of App.• IOT Internet Of Things
WHY Natural Language
Processing ?
Retrieve Information:My friend: When you will meet with me?Me: I have decided to meet tomorrow at 10:00 AM in Library
Retrieve Information:My friend: When you will meet with me?Me: I have decided to meet tomorrow at 10:00 AM in Library
Date : 31-03-17 (Tomorrow)Time: 10:00 AMPlace: Library
Retrieve Information:
Event: Database PresentationTime: 11:30 AM
Info: Take preparation properly
Machine Translation:1. Google Translation.2. Pipilika (first Bangla search engine)3. Voice speech to Text
আমি� ত�ো�োকে� ভোলবোমি� | => I love you.
Grass is greener on the other of the side. => নদীর ওপোকে�র ঘো�গুচ্ছ ।তবশী �বুজ
Google’s Translation : ঘো� নদী ওপোকের �বুজ |
Machine Translation:
Language Processing:Generate SQL from natural language.Natural Language: Publish departmentSQL Query: Select * from department
Natural Language: Show all student information of Section E, 40 batch, CSESQL Query: Select * from CSE_students where batch = `40` AND section = `E`
NLP Technique:1. One of the Machine Learning application is NLP2. Two approach:
I. Supervised. * Tag key-word work as training set* YouTube Suggestion, Favorite list in messenger.
II. Unsupervised.* No pre-training set.* Clustering, Data analyzation, Google Search
“First we thought the PC was a calculator.
Then we found out how to turn numbers into letters with ASCII — and we thought it was a typewriter. Then
we discovered graphics, and we thought it was a television. With the World Wide Web, we've realized it's a
brochure.”
― Douglas Adams
• Add your results hereResults
• Add your objective hereObjective
Project Description
Aspects of NLP• Tokenization / Segmentation
• Disambiguation
• Stemming
• Part of Speech (POS) tagging
• Contextual Analysis
• Sentiment Analysis
Tokenization & Segmentation• Segmenting text into words
“The meeting has been scheduled for this Saturday.”
“He has agreed to co-operate with me.”
“Indian Airlines introduces another flight on the New Delhi–Mumbai route.”
“We are leaving for the U.S.A. on 26th May.”
“Fahad is playing the role of Duke of Athens in A Midsummer Night’s Dream in a theatre in New York City!”
• Named Entity Recognition
POS tagging
• Part of speech (POS) recognition
“ Today is a beautiful day. “
Today is a beautiful day Noun Verb Article Adjective Noun
Showing application of NLP with python scripting
Opportunities of NLP• Research opportunity
• Employment/Job opportunity
Limitation of NLP
Future of NLP• The bots
• Supporting invisible UI
• Smarter search
• Intelligence from unstructured information
Do you have Any QUESTION?
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