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User:Shubham1011/proposal

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Contents

[edit]
Apertium GSoC 2019

Python API(APy) for Apertium

[edit] Contact Information

Name: Shubham Dikshit
E-mail address: iamsds123@gmail.com
Mobile Number: +91 9773880604 (India)
Github: shubham10111
Timezone: UTC +5.30

[edit] Why is it that you are interested in Apertium?

I belong to a country where 720 dialects used by a population of 1.3 billion. Being from a nation with vast languages and as a student of Computer Science, I strive to solve the problems in language translation through my knowledge of programming and natural language processing. I like the concept of Apertium as an open source language translator as it solves the problem of language translation with ease. As I am a student of Computer Science, I have a keen interest in programming and development. I am proficient in web development and want to apply my knowledge of machine translation by contributing in Apertium. I have an urge to improve open source language translation with Apertium. One of the greatest features is the ease of adaption of a new language pair. In my opinion, it is an extremely important feature of this project and I also like the idea of general rules for closely related languages.

[edit] Which of the published tasks are you interested in? What do you plan to do?

I am planning to work on the either or both of the listed projects:

  1. Python API/library for Apertium
  2. Improvements to the Apertium website

[edit] Why Google and Apertium should sponsor it?

I have a proper knowledge and experience with development in Python, C , Html , Css and JavaScript. Moreover I would like to work projects including areas like web development, opencv, machine learning and natural language processing. The libraries of apertium are written in C++ which is low level language and i am planning to learn C++ as my next language proficiency . As people prefer high level languages like python, C++ packages need to be made available by writing APIs for python using SWIG. SWIG allows C++ libraries to be used flexibly with scripting languages such as python.

[edit] How and who it will benefit in society?

As most people use Windows and Mac adding support for windows and Mac will increase the user base of Apertium. A pip install for windows and mac would make development process a lot easier for the developers. Adding certain capabilities of Apertium such as dictionary/synonym lookup and webpage translation to the website would help in increasing the users and expand the uses of Apertium.

[edit] Work Plan

[edit] Broad Plan

  1. To inspect html,css and javascript.
  2. To inspect the python script.
  3. To acknowledge the problem statement and start working on a possible solution with focus on each detail.
  4. Working on apertium-apy and lttoolbox and making it available on windows.
  5. Working on improvements to apertium website and adding functionalities.
  6. Wrapping up the project with proper documentation and project report.

[edit] Detailed plan

WEEK DESCRIPTION DELIVERABLE
Week 1
  • Experimenting with apertium modules for windows.
  • Developing the understanding of apertium-python package and its wrapper functions.
  • Trying all the functions of Ittoolbox and writing some sample code.
  • Discussing detailed work flow with mentors.
Report for next week’s work plan.
Week 2
  • This includes setting the core modules of apertium on windows using apertium-python package on github.
  • Completing the installation script for windows in python.
  • Fixing bugs stopping apertium to install on windows.
An installable prototype for installing apertium on windows.
Week 3
  • Inspecting the apertium installation and its usage for Jupyter notebook and other such platforms.
  • Checking the working of language processing tools and its usability in these environments.
Complete installation of apertium for windows using pip
Week 4
  • Working on creating a SWIG API for lttoolbox.
  • Adding other functionalities as guided by mentors.
A working transducer function using SWIG to convert C++ functions in python script.
Week 5
  • Improving SWIG API with transducer function using python.
  • Fixing the bugs in lttoolbox to make it ready for release.
  • Evaluation by mentor.
Releasing the SWIG API for lttoolbox.
Week 6
  • Improvement to apertium website by adding by adding dictionary lookup mode for single word translation that would give synonyms for the translations.
  • Ranking the synonyms in order of their likelihood.
  • Improving some of the already existing code.
Dictionary lookup functionality on the website.
Week 7
  • Coloring the resulting translation depending on how reliable it is.
  • Fixing bugs and working on release.
Reliability visualization ready for release.
Week 8
  • Making language detection work in proper manner.
  • Adding did you mean suggestions on the website if someone chooses unlikely language.
Functional language detection and did you mean feature.
Week 9
  • Adding all the functionalities to the website.
  • Testing the proper working of all feature.
  • Debugging the problems.
  • Evaluation by mentor.
Improved Apertium website ready for deployment.
Week 10
  • Debugging apertium-apy by solving new and old issues.
  • Preparing documentation for apertium-apy.
Complete apertium-apy with documentation.
Week 11
  • Debugging lttoolbox.
  • Creating documentation for lttoobox.
Complete lttoolbox implementation
Week 12
  • Fixing bugs in the apertium website.
  • Adding improvements to the apertium-html-tools.
Making website release ready.
Week 13
  • Releasing the apertium website with changes.
  • Testing the released website and debugging the issues.
  • Evaluation by mentor.
Release Apertium website for users.
Week 14
  • Releasing the final productions of all the work
  • Completing all the changes suggested by the mentors
  • Cleaning up the documentation.
  • Reporting unresolved bugs.
Release final production.

[edit] Education

I am pursuing my degree of Bachelor of Technology in Computer Science Engineering at IMS Engineering College, India. I am a student of first year enrolled in a four year course of CSE.

[edit] Experience

I have been studying Computer Science for a year now, with gaining experience in programming languages such as C, Python, Javascript,html,css. I am trying to be proficient in competitive programming and algorithm development. I have been contributing to open source for quite a while now in Python and C. Here is my github timeline :

Git.png

[edit] Non-summer of code plans

Google Summer of Code lies during the summer vacations of the college and I will be doing summer internship at IIIT Hyderabad on Natural Language and Processing . I will try to devote 40 hours per week and more if necessary to Apertium during summer of code and try to manage my work accordingly . I will try to handle both GSOC and my internship accordingly and will give priority to both.

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