Difference between revisions of "User:Fpetkovski/GSoC-2012 Application"

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First name: Filip
== GSoC application: Corpus-based lexicalised feature transfer ==
Last name: Petkovski
email: filip.petkovsky@gmail.com
fpetkovski on IRC: #apertium


== Why are you interested in machine translation ? ==
== Why are you interested in machine translation ? ==

Machine translation can be thought of as one of the greatest challenges in natural language processing. It is the single most useful application of NLP and building a good MT system requires a blend of numerous different techniques from both computer science and linguistics.



== Why is it that you are interested in the Apertium project? ==
== Why is it that you are interested in the Apertium project? ==

Apertium is a great project. It is obvious that a ton of work has been put into both developing the platform and creating the language resources. However, there is always more work to be done and being a part of this project is a perfect opportunity to make a big contribution to society.



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

I'm interested in building a Corpus-based lexicalised feature transfer module which will set tags based on a corpus-generated model.

== Work already done ==

started the apertium-sh-en language pair in ''incubator''.

created a stream-processor for the output of apertium-transfer that read character by character.

created a stream processor for the output of apertium-transfer that removes stop words specified in a dictionary.

== Work to do ==

== What do you plan to do? ==


== Skills, qualifications and field of study ==
== Skills, qualifications and field of study ==

Revision as of 22:22, 26 March 2012

First name: Filip Last name: Petkovski email: filip.petkovsky@gmail.com fpetkovski on IRC: #apertium

Why are you interested in machine translation ?

Machine translation can be thought of as one of the greatest challenges in natural language processing. It is the single most useful application of NLP and building a good MT system requires a blend of numerous different techniques from both computer science and linguistics.


Why is it that you are interested in the Apertium project?

Apertium is a great project. It is obvious that a ton of work has been put into both developing the platform and creating the language resources. However, there is always more work to be done and being a part of this project is a perfect opportunity to make a big contribution to society.


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

I'm interested in building a Corpus-based lexicalised feature transfer module which will set tags based on a corpus-generated model.

Work already done

started the apertium-sh-en language pair in incubator.

created a stream-processor for the output of apertium-transfer that read character by character.

created a stream processor for the output of apertium-transfer that removes stop words specified in a dictionary.

Work to do

What do you plan to do?

Skills, qualifications and field of study

Non-GSoC activities