Jaweriya's story so far...

It feels great to write my first blog on my project Text Simplification.I would like to start with the word "Text Simplification" which itself simply says simplifying the complications.The day from which i started working on the project and giving the jist of a project to other's would start with an example as phrased by Sudarshan Sir-"I am flabbergasted by your flamboyance" which means "I am amazed by your behaviour".Most of the people gets exasperated when they dont get a continuous flow, when being struck with the complicated sentences.This may ultimately result in losing the interest.The solution to this problem is "Text Simplification".

Here we are going to provide a plugin that would present you with the simplified version.The first day of mine had started with an all well planned task assigned to each of us under Sudarshan Sir. I learnt that day the usage of pyhton which provides its own style of indentation. The different tools that I am acquainted till now with the help of my team members and that would require to proceed with the project are-

Python(The open source interpreted programming language)

NLTK(Natural language Processing Toolkit) which houses several packages like Wordnet which provides you with the corpus of complete English dictionary.

SVN(Subversion)

PDB(python Debugger)provides an interactive step by step execution of program.

The process of Text Simplification abstractly starts with scanning and parsing the given text,breaking it into sentence,breaking the sentence into words,identifying the complex words based on the frequency of usage,replacing the synonym of the keywords in a sentence(with the usage of wordnet package) and this replacement is unique in itself because we are finding the frequency of usage of this synonym in that sentence. All this has already driven me into a process of learning new things everyday which I am very zealous about.

I would like to tell prolific usage of text simplification that I would be working on is grading of the text to help the reader to know the proficiency level of the text.This would help the reader to know whether the graded document can be read by him or not.The other usage may be Text Summarization which may find its great applications on Twitter to derive the conclusions from tweets.

The project would help the people with disabilities who find difficulty in reading.It is great invention to me because I always feel zonked with the usage of dictionary and for all to whom who likes simplicity with no complications.

Its again the great time for me to be working on the project and to work with my team members.