Intellectual Property
Rezaul Karim Refath
ID: 181-15-1871
1
Presented By Presented To
Nadira Anjum Nipa
Lecturer, Department of
Computer Science and
Engineering
2
Content List
1.Introduction
2.Background
3.Expected Outcome
4.Result
5.Conclusion
Introduction
Next word predicator is a keyboard-based
project, it will be helpful for the
intermediate level student who is sending
a mail to the administration, teacher for
some time where they need to assure there
is no wrong spell, or sometimes in the
research paper, they also need to next
word predictor software. Sometimes they
forget what to say, this next word
predictor will help them. It is based on
Markov chains.
3
Introduction
Markov chain maintains a sequence of
possible even where predication or
probabilities for the next stage are based
solely on its previous event stage, not
the state before.
4
Background
Automatic learning of new vocabulary
items has been an important and
helpful feature in most word
prediction systems. Next Word
Predicator is based on Markov Chain.
Markov Chains are an important
concept in stochastic processes. It
presents the random motion of the
objects. Every sequence has an initial
probability distribution.
5
Expected Outcome
We tried to made a initial application
which is written by a programming
language and it will suggest some word
when they type something and press
enter, the suggestion word will visible to
screen.
6
Result
Finally we made this without front-end interface. It
will work on Command prompt or windows power
shell. Just open CMD or PowerShell on the project
location and type “python FileName.py” and tap
enter. Then the project will open.
7
Result
8
Conclusion
Overall, the project is the basic from of a word
suggestion. It didn’t contain a front-end design. We
need to improve the front-end design and make a
relevant front-end design. It represent the back-end
part of a software or website.
9
Conclusion
In future, we will make a front-end part and we will
try to add customer input option to our database. It
will help us to improve out dataset and it make a
strong dataset.
10

Next word predication using markov models

  • 1.
    Intellectual Property Rezaul KarimRefath ID: 181-15-1871 1 Presented By Presented To Nadira Anjum Nipa Lecturer, Department of Computer Science and Engineering
  • 2.
  • 3.
    Introduction Next word predicatoris a keyboard-based project, it will be helpful for the intermediate level student who is sending a mail to the administration, teacher for some time where they need to assure there is no wrong spell, or sometimes in the research paper, they also need to next word predictor software. Sometimes they forget what to say, this next word predictor will help them. It is based on Markov chains. 3
  • 4.
    Introduction Markov chain maintainsa sequence of possible even where predication or probabilities for the next stage are based solely on its previous event stage, not the state before. 4
  • 5.
    Background Automatic learning ofnew vocabulary items has been an important and helpful feature in most word prediction systems. Next Word Predicator is based on Markov Chain. Markov Chains are an important concept in stochastic processes. It presents the random motion of the objects. Every sequence has an initial probability distribution. 5
  • 6.
    Expected Outcome We triedto made a initial application which is written by a programming language and it will suggest some word when they type something and press enter, the suggestion word will visible to screen. 6
  • 7.
    Result Finally we madethis without front-end interface. It will work on Command prompt or windows power shell. Just open CMD or PowerShell on the project location and type “python FileName.py” and tap enter. Then the project will open. 7
  • 8.
  • 9.
    Conclusion Overall, the projectis the basic from of a word suggestion. It didn’t contain a front-end design. We need to improve the front-end design and make a relevant front-end design. It represent the back-end part of a software or website. 9
  • 10.
    Conclusion In future, wewill make a front-end part and we will try to add customer input option to our database. It will help us to improve out dataset and it make a strong dataset. 10