Difference between revisions of "User:Mohitraj"

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(Created page with " Apertium GSOC 2019 Morphological Analyzer of Magahi Contact Information Name: Mohit Raj E-mail address: mohiitraj@gmail.com Mobile Number : +91 9304843938(India) IRC Nic...")
 
 
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Apertium GSOC 2019

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== '''Apertium GSOC 2019'''

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'''Morphological Analyzer of Magahi''' ==


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== '''Contact Information''' ==


⚫
Morphological Analyzer of Magahi
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Contact Information


Name: Mohit Raj
Name: Mohit Raj
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Why is it that you are interested in Apertium and Machine Translation ?


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== '''Why is it that you are interested in Apertium and Machine Translation ?''' ==
I belong to India where 22 shedule language and and almost 100 non-scheduled languages. It is obtained by subsuming several distinct languages under ‘dialects’ of some of the majority languages; languages with less than 10000 speakers are not even recognised and are put under a category called ‘others’. I like the concept of Apertium as an open source language translator that is really a nice thing to the world that would be definitely helpful for students, organinzation and any other body who wants to do work in the field of Machine Translation. My interest in Apertium because it is not only machine translation, but also free resources that can be used for other purposes e.g. dictionary, morphological analyser and spell checkers etc. I am student of Linguistics and My area of interest is Machine Translation and Natural Language Processing. Previously i have completed courses on XML, Python programming, Language Technologies and Machine Translation. I have worked towards the development of parser for Magahi, in collaboration with my classmate Neerav Mathur, for course projects.I took participation in following workshop :-
I belong to India where 22 shedule language and and almost 100 non-scheduled languages. It is obtained by subsuming several distinct languages under ‘dialects’ of some of the majority languages; languages with less than 10000 speakers are not even recognised and are put under a category called ‘others’. I like the concept of Apertium as an open source language translator that is really a nice thing to the world that would be definitely helpful for students, organinzation and any other body who wants to do work in the field of Machine Translation. My interest in Apertium because it is not only machine translation, but also free resources that can be used for other purposes e.g. dictionary, morphological analyser and spell checkers etc. I am student of Linguistics and My area of interest is Machine Translation and Natural Language Processing. Previously i have completed courses on XML, Python programming, Language Technologies and Machine Translation. I have worked towards the development of parser for Magahi, in collaboration with my classmate Neerav Mathur, for course projects.I took participation in following workshop :-


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My Proposal
== '''My Proposal''' ==
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Title


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'''Title'''


Morphological analyzer of Magahi
Morphological analyzer of Magahi

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Why Google and Apertium should sponset it ?

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'''== Why Google and Apertium should sponset it ? =='''


Many language pairs are available on Apertium but many have to be develop. One of those is Eng-Magahi pair for Machine translation that should be develop. In the machine translation Morphological Analyzer plays an important role in improving the system’s performance for morphologically rich language like Magahi. So I am interested in developing morph analyzer of Magahi.
Many language pairs are available on Apertium but many have to be develop. One of those is Eng-Magahi pair for Machine translation that should be develop. In the machine translation Morphological Analyzer plays an important role in improving the system’s performance for morphologically rich language like Magahi. So I am interested in developing morph analyzer of Magahi.
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There are almost 12.7 million native speaker of Magahi accordingto census of 2011 and aditional speakers counted under Hindi. Eng-Magahi MT would be quite helpful for Magahi users and it would also play an important role in preserving the marginalised language.
There are almost 12.7 million native speaker of Magahi accordingto census of 2011 and aditional speakers counted under Hindi. Eng-Magahi MT would be quite helpful for Magahi users and it would also play an important role in preserving the marginalised language.

Work Plan
== '''Work Plan''' ==
Week1

== '''Week1''' ==


Preparing linguistic rule for Morphological analyzer
Preparing linguistic rule for Morphological analyzer

Week2

== '''Week2''' ==



Continue....
Continue....

Week3

== '''Week3''' ==


Tokenizing the data
Tokenizing the data

Week4

== '''Week4''' ==


Preparing the tagset
Preparing the tagset

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Deliverable #1

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'''Deliverable #1'''


Submit the Tokenized and prepared tagset
Submit the Tokenized and prepared tagset

Week5

== '''Week5''' ==


Preparing the affix list
Preparing the affix list

Week6

== '''Week6''' ==


Writing the programm to develop Magahi morphological analyzer
Writing the programm to develop Magahi morphological analyzer

Week7

== '''Week7''' ==


Continueing programming
Continueing programming

Week8

== '''Week8''' ==


Train and test the model
Train and test the model
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Deliverable #2



⚫
Submit the programm and trained, test model
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'''Deliverable #2'''
Week9

⚫
Submit the program and trained, test model


== '''Week9''' ==


Test the model with different domain of word
Test the model with different domain of word
Week10



⚫
Fixing the occuring error in model
== '''Week10''' ==
Week11

⚫
Fixing the occurring error in model

== '''Week11''' ==



Again train and test the model
Again train and test the model
Week12



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Evaluation of results or model
== '''Week12''' ==


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'''Evaluation of results or model'''

Project Completed
Project Completed


Submission of project
'''Submission of project'''

[[Category:GSoC 2019 student proposals]]

Latest revision as of 18:25, 27 March 2019


== Apertium GSOC 2019

Morphological Analyzer of Magahi ==


Contact Information[edit]

Name: Mohit Raj

E-mail address: mohiitraj@gmail.com

Mobile Number : +91 9304843938(India)

IRC Nick: mohitraj

Github: Mohit-Raj123

Timezone: UTC +5.30



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

I belong to India where 22 shedule language and and almost 100 non-scheduled languages. It is obtained by subsuming several distinct languages under ‘dialects’ of some of the majority languages; languages with less than 10000 speakers are not even recognised and are put under a category called ‘others’. I like the concept of Apertium as an open source language translator that is really a nice thing to the world that would be definitely helpful for students, organinzation and any other body who wants to do work in the field of Machine Translation. My interest in Apertium because it is not only machine translation, but also free resources that can be used for other purposes e.g. dictionary, morphological analyser and spell checkers etc. I am student of Linguistics and My area of interest is Machine Translation and Natural Language Processing. Previously i have completed courses on XML, Python programming, Language Technologies and Machine Translation. I have worked towards the development of parser for Magahi, in collaboration with my classmate Neerav Mathur, for course projects.I took participation in following workshop :-


1. 9th IASNLP-2018: IIIT-Hyderabad Advanced School on Natural Language Processing

2. SOIL-Tech: Towards Digital India at JNU, New Delhi

3. Hands on workshop on Statistical Machine Translation with Moses at K.M.I, Agra


I wants to work on marginalised language because it will be definitely helpful to develop tools and technology for marginalised language that would be quite helpful to preserve language heritage of India and the world.



My Proposal[edit]

Title

Morphological analyzer of Magahi


== Why Google and Apertium should sponset it ? ==

Many language pairs are available on Apertium but many have to be develop. One of those is Eng-Magahi pair for Machine translation that should be develop. In the machine translation Morphological Analyzer plays an important role in improving the system’s performance for morphologically rich language like Magahi. So I am interested in developing morph analyzer of Magahi. How and who it will benefit in society ?

There are almost 12.7 million native speaker of Magahi accordingto census of 2011 and aditional speakers counted under Hindi. Eng-Magahi MT would be quite helpful for Magahi users and it would also play an important role in preserving the marginalised language.

Work Plan[edit]

Week1[edit]

Preparing linguistic rule for Morphological analyzer


Week2[edit]

Continue....


Week3[edit]

Tokenizing the data


Week4[edit]

Preparing the tagset


Deliverable #1

Submit the Tokenized and prepared tagset


Week5[edit]

Preparing the affix list


Week6[edit]

Writing the programm to develop Magahi morphological analyzer


Week7[edit]

Continueing programming


Week8[edit]

Train and test the model


Deliverable #2

Submit the program and trained, test model


Week9[edit]

Test the model with different domain of word


Week10[edit]

Fixing the occurring error in model

Week11[edit]

Again train and test the model


Week12[edit]

Evaluation of results or model

Project Completed

Submission of project

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