You do understand correctly!
The main idea about NLP components is with POS tagger as an example:
1. a fall back system that does unsupervised POS tagging.
2. the ability to plug in an existing POS tagger as these become available for specific
languages.
I would as supervisor would recommend working with 3 languages.
English, Hebrew, and the GSOC native language.
If we could get QA from other native speakers we would incorporate them into the
workflow.
I think that by using a deletion/reversion based heuristic we may also be able to make a
spam corpus to boost the accuracy of the corpuses.
Operation Manager
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-----Original Message-----
From: wikitech-l-bounces(a)lists.wikimedia.org
[mailto:wikitech-l-bounces@lists.wikimedia.org] On Behalf Of Amir E. Aharoni
Sent: Tuesday, April 03, 2012 10:19 PM
To: Wikimedia developers
Subject: Re: [Wikitech-l] GSoC 2012: Proposal-Wikipedia Corpus Tools
2012/4/3 karthik prasad <karthikprasad008(a)gmail.com>om>:
Hello,
I am a GSoC aspirant and have compiled a proposal for one of the
project ideas - Wikipedia Corpus Tools. [Mentor : Oren Bochman] I
would sincerely appreciate if you could kindly go through it and
suggest corrections/additions so that I can settle with a coherent proposal.
Link to my proposal :
https://www.mediawiki.org/wiki/User:Karthikprasad/gsoc2012proposal
Nice, but why only English?
If i understand the proposal correctly, this project is supposed to be able to work with
almost any language with very little effort.
--
Amir Elisha Aharoni · אָמִיר אֱלִישָׁע אַהֲרוֹנִי
http://aharoni.wordpress.com “We're
living in pieces, I want to live in peace.” – T. Moore
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