User:Aditya

Contact Information

Name: Aditya
E-mail address: adityaprayaga@gmail.com
Location: Hyderabad,India.
Phone Number: +91-8106805681
GitHub: https://github.com/aditya-369
IRC: aditya_369
Languages: Telugu(native) ,English ,Hindi

Why is it that you are interested in Apertium?

     Apertium is a great organisation where machine translation of languages take place,not only the languages of prominent countries but also the regional languages of their states are also given importance. This is what makes Apertium unbiased, as any person can profusely use the platform. As there is no language barrier  there is a healthy collaboration which builds good work atmosphere among the people in IRC. As above a healthy relationship is maintained between mentors and mentees which provokes the mentees to reciprocate it into their work, this enthrals me a lot to work with Apertium.
      Moreover, many existing machine translation systems are available at present which are mostly commercial or use proprietary technologies, which makes them very hard to adapt to new usages; furthermore, they use different technologies across language pairs, which makes it very difficult.But Apertium uses single uses a language-independent specification, to allow for the ease of contributing to Apertium, more efficient development, and enhancing the project's overall growth. 

Which of the published tasks are you interested in? what do you plan to do?

I am excited to work on the project Improving Apertium website which is listed as 1.8 idea under the published list of ideas.

Work Flow Details

Apertium has a pretty cool website already but,this is an opportunity that helps me in improving Apertium website and make it cooler than it is of now.So Coming to work flow details it is basically split into three phases as number of tasks listed in are also three i.e,

Phase-1: Dictionary Look-Up Task

Phase-2: Colour Grading and UI/UX upgrading to existing Apertium app.

Phase-3: Make language detection work properly and Suggestion styling if people choose an unlikely source language.

Phase-1

Phase-2

Phase-3

Reasons why Google and Apertium should sponsor Improving of Apertium Website Project

  Apertium has a cool idea of machine translation of languages.But Website is their only gateway for the  reflection of idea.So a good User experience would enable a large online crowd to use this site and be helpful in increasing knowledge on their required Language.
  As when societal aspect comes apertium core idea itself is a good advantage to society because where is no barrier for communication in specific language every one can express their thought in regional which is narrowed down by apertium.
  When it come to our project improving apertium website,there are feature like synonyms,antonyms and colour grading of reliablity,etc that would help User experience and intern help the growth of organisation. 

Description of how and who it will benefit in society

Work plan

Phase-1,Weeks 1-4

• Week 1:
• Week 2:
• Week 3:
• Week 4:

• Deliverable #1

Phase-2,Weeks 5-8

• Week 5:
• Week 6:
• Week 7:
• Week 8:

• Deliverable #2

Phase-3,Weeks 9-12

• Week 9:
• Week 10:
• Week 11:
• Week 12:

• Project completed

Include time needed to think, to program, to document and to disseminate.

If you are intending to disseminate to a conference, which conference are you intending to submit to. Make sure to factor in time taken to run any experiments/evaluations and write them up in your work plan.

Education and Skills

University Courses

Design and Analysis of Algorithms

Object Oriented Analysis and Design

Formal Languages and Automata Theory

Compiler Design

Data Structures

Data Base Management Systems

Math(Advanced Calculus,Ordinary Differential Equations and Laplace Transforms,Computational Methods,Probability, Statistics and Queuing Theory )

Web Technologies

Operating Systems

Linux Internals

Special Courses

• Introduction to Modern Application Development
  • Certificate: http://nptel.ac.in/noc/E_Certificate/noc17-cs40/NPTEL17CS40S1350371171055838.jpg
• Introduction to Machine Learning
  • Certificate: http://nptel.ac.in/noc/E_Certificate/noc17-cs26/NPTEL17CS26S2360766171055838.jpg
• Serverless Machine Learning with Tensorflow on Google Cloud Platform by Google Cloud on Coursera. Certificate earned at Saturday, January 27, 2018 7:03 PM GMT
  • Certificate: https://www.coursera.org/account/accomplishments/certificate/KQY5YQCP3UG4

Technical Skills

List any non-Summer-of-Code plans you have for the Summer, especially employment, if you are applying for internships, and class-taking. Be specific about schedules and time commitments. we would like to be sure you have at least 30 free hours a week to develop for our project.