User:Tachyons/GSoC Proposal
Contents
Personal Information
Name: Aboobacker MK E-mail address: aboobackervyd@gmail.com Wiki : [tachyons http://wiki.apertium.org/w/index.php?title=User:Tachyons] Irc nick : tachyons GIt : tachyons
Why is it you are interested in machine translation?
I am computer science who is tech enthusiast . when I was chating with friend he used google translate fortranslating contents to his language . But there was no malayalam in google translate or other MT tools . so I decide to create one ,But immediatly I realised that itis not an easy task asitsounds . I googled about it and got article about MT, I learned basics including automata theory and decided to concentrate more on MT. MT plays an important role in information sharing . We can even read articles written in other language without learningthat language
Why is it that they are interested in the Apertium project?
Because I am a foss enthusiast and interested in machine language translation. I saw the name of Apertium in GSoC organisation list . I quickly went through the wiki and realised that this is the project I was searching for. I introduced myself in mailing list and irc and got positive response and help
Which of the published tasks are you interested in? What do you plan to do?
Along with new English malayalam language pair, I am interested in
- Create a user friendly and feature rich ui for apertium ( apertium-tolk looks ugly)
- API for third party developers
Proposal
Adopt a language pair: ml-en(Malayalam to English)
Malayalam is the official language of kerala (an indian state) , It spoken by 40 million people around the world . But there is no machine language translator available for this language. My proposal is to create an English Mlayalam pair using Apertium platform, It's complex task because structure of English and Malayalam So It is impossible to create complete translation system in 3 months. but I can do many things in 3 months which can help future development
why Google and Apertium should sponsor it,
because there isno existing machine language tools available for this language ,apertium have a solid background in the MT field soit will helpful to realise my dream . If Google approved this proposal I can spend more time for I will get more technical support
How and who it will benefit in society Machine language translation can play an important role in Information technolgy to common people, It will help quick translation of documents ,novels,news etc to other language(Especially to mother tongue)more easily.
work plan (including, if possible, a brief schedule with milestones and deliverables).
<under construction>
List your skills and give evidence of your qualifications. Tell us what is your current field of study, major, etc.
I am a computer science student ,and interested in foss . I can code in python,c,c++,c# ,java,php ,javascript and little objective c and Google Go.Malyalam is my mother tongue and english was my second language at school , I am familiar with both languages
Convince us that you can do the work. In particular we would like to know whether you have programmed before in open-source projects.
I am new to the open source world so currently my contributions are very less :-(, Check my github profile for my existing open source projects
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.
I am a student and my class will start on July 2nd week , but it is possible to spend 30hour per week 7*2 (weekend) + 5*3 ( on other days) =29 hours , I am not doing any internships right now .I am a freelance programmer But I will pause it if I got selected for GSoC
Coding challenge
- Install Apertium (see Minimal installation from SVN) (done)
- Go through the HOW TO (done)
- Go through the MT course here (not completed )
- Write a translator that translates as much of this story as possible — Minimum one sentence. (doing).
- Upload your work to Apertium SVN. (I will do it ASAP)
My non-Summer-of-Code plans for the Summer
- Learn more about machine language translator system
- Improve apertium tolk
