Difference between revisions of "User:Fpetkovski/GSoC-2012 Application"
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started the apertium-sh-en language pair in ''incubator''. |
started the apertium-sh-en language pair in ''incubator''. |
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created a stream-processor for the output of apertium-transfer that |
created a stream-processor for the output of apertium-transfer that reads character by character (branches/gsoc2012/fpetkovski/stream-rocessor). |
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created a stream processor for the output of apertium-transfer that removes stop words specified in a dictionary. |
created a stream processor for the output of apertium-transfer that removes stop words specified in a dictionary (branches/gsoc2012/fpetkovski/stopwords-filter). |
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== Work to do == |
== Work to do == |
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Revision as of 22:26, 26 March 2012
First name: Filip Last name: Petkovski email: filip.petkovsky@gmail.com fpetkovski on IRC: #apertium
Contents
- 1 Why are you interested in machine translation ?
- 2 Why is it that you are interested in the Apertium project?
- 3 Which of the published tasks are you interested in? What do you plan to do?
- 4 Work already done
- 5 Work to do
- 6 What do you plan to do?
- 7 Skills, qualifications and field of study
- 8 Non-GSoC activities
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 reads character by character (branches/gsoc2012/fpetkovski/stream-rocessor).
created a stream processor for the output of apertium-transfer that removes stop words specified in a dictionary (branches/gsoc2012/fpetkovski/stopwords-filter).
