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Thanks for the mention above (foxtype.com). We're currently building an online editor checks
We're currently building an online editor that:
1 checks for compatibility of words in a sentence (essentially popularity) 2 give example sentences for a certain word 3 word suggestions depending on context.
Language models would be a decent way to check popularity though it would be noisy. Sentence level rewrites would be hard unless you make it template driven.
There are quite a few Ngram datasets available https://www.google.com/search?q=download+n-gram+dataset ... these are almost certainly used in many spelling and grammar checkers. (To help with where the same spelled word is used in different context) http://www.aclweb.org/anthology/W12-0304
Yes, I remember trying to use Google Books Ngram Dataset [1], but it was too tedious for me to setup and maintain a server with the data for a purpose of a quick-and-dirty tool (that's why I asked for a ready API). Still, using it is probably a nice idea for a more ambitious side project or even a startup. EDIT. Actually I would happily pay for a tool that implements the idea. Grammarly has paid plans but $30/month i…
If we publish it as an online tool do you think people will find it useful?
We have multiple corpora, some language models built in neural networks, etc.
I'm a native English speaker, and I'd like to know appropriate punctuation for a given combination of words. I'd like to search through a list.
Of course, the RIGHT way to do this would be to use the n-gram datasets that people here have suggested :-)
www.grammarly.com (haven't tried it though) In the demo they showed it turning a sentence into a more colloquial sentence. I'm a native English speaker, and I'd like to know appropriate punctuation for a given combination of words. I'd like to search through a list.
This is a tiny tool I wrote a long time ago. There's also writefullapp.com which is closed source.