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From: | Sudeepam Pandey |
Subject: | Re: Proceeding with the GSoC Project |
Date: | Fri, 27 Apr 2018 02:34:48 +0530 |
On 04/26/2018 03:12 PM, Sudeepam Pandey wrote:
Thank you Nir Krakauer for your inputs. The following is an abstract from my GSoC proposal.
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Phase 1 evaluations goal*_*:* A set of working Neural Network m-scripts, which, together,
could suggest corrections for typographic errors.
Can you explain how neural networks figure in this task? I've noticed that recent versions of GCC provide a suggestion feature when identifiers are not recognized. You might look at how it works. I think most of the search and matching work is done in the spellcheck.c and spellcheck-tree.c files:
https://gcc.gnu.org/git/?p=gcc.git;a=blob;f=gcc/spellcheck.c
https://gcc.gnu.org/git/?p=gcc.git;a=blob;f=gcc/spellcheck- tree.c
Does it use neural networks to do that job?
jwe
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