El dj 06 de 03 de 2014 a les 18:05 +0530, en/na Madhulika Mohanty va escriure: > > Hi, > > GSoC 2014 by Apertium promises to be a great opportunity for learning > and doing good things. I have gone through the possible project > proposals. Being a Doctoral student in the field of ML and IR, I would > love to join you as intern. > > The project that caught my interest is "Improving support for > non-standard text input". To begin with, I have installed apertium. I > read through the requirements of the project. I have read a paper > titled "A Phrase-based Statistical Model for SMS Text Normalization" > by AiTi Aw et. al. published in COLING 2006, which talks on similar > lines. I found this paper to be of relevance for this project. Please > share your views on the same. Also suggest some more papers which can > help me in understanding the problem in depth and writing a better > proposal.
That would be interesting, but as Apertium is a rule-based platform, we'd be looking for any system to be principally rule-based, although of course ML can be used to learn rules ;) > Please tell me what all you are looking for in a proposal. Also > suggest few beginning steps for this project. The first important step is to install Apertium. If you are a doctoral student, you should perhaps set your sights on one of the more challenging tasks. Do you know anything about parsing ? Fran ------------------------------------------------------------------------------ Subversion Kills Productivity. Get off Subversion & Make the Move to Perforce. With Perforce, you get hassle-free workflows. Merge that actually works. Faster operations. Version large binaries. Built-in WAN optimization and the freedom to use Git, Perforce or both. Make the move to Perforce. http://pubads.g.doubleclick.net/gampad/clk?id=122218951&iu=/4140/ostg.clktrk _______________________________________________ Apertium-stuff mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/apertium-stuff
