{"action":"opened","issue":{"url":"https://api.github.com/repos/nlp-compromise/nlp_compromise/issues/128","repository_url":"https://api.github.com/repos/nlp-compromise/nlp_compromise","labels_url":"https://api.github.com/repos/nlp-compromise/nlp_compromise/issues/128/labels{/name}","comments_url":"https://api.github.com/repos/nlp-compromise/nlp_compromise/issues/128/comments","events_url":"https://api.github.com/repos/nlp-compromise/nlp_compromise/issues/128/events","html_url":"https://github.com/nlp-compromise/nlp_compromise/issues/128","id":154932126,"number":128,"title":"It might be helpful to parse abbreviations of common words","user":{"login":"jashsayani","id":18684,"avatar_url":"https://avatars.githubusercontent.com/u/18684?v=3","gravatar_id":"","url":"https://api.github.com/users/jashsayani","html_url":"https://github.com/jashsayani","followers_url":"https://api.github.com/users/jashsayani/followers","following_url":"https://api.github.com/users/jashsayani/following{/other_user}","gists_url":"https://api.github.com/users/jashsayani/gists{/gist_id}","starred_url":"https://api.github.com/users/jashsayani/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jashsayani/subscriptions","organizations_url":"https://api.github.com/users/jashsayani/orgs","repos_url":"https://api.github.com/users/jashsayani/repos","events_url":"https://api.github.com/users/jashsayani/events{/privacy}","received_events_url":"https://api.github.com/users/jashsayani/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":0,"created_at":"2016-05-15T21:43:19Z","updated_at":"2016-05-15T21:43:19Z","closed_at":null,"body":"While English is an amazing language and NLP has reached a point where it is very good at breaking up English sentences to understand context, humans have transformed English from the amazing language to a bunch of abbreviations tacked on together. So it would be more useful if the NLP library understood common abbreviations since thats what users would type.\r\n\r\nExample: `I cannot come to dinner as because I am at a meeting.` would be written as `Can't come to dinner bec i m at meeting` or `Can't come to dinner coz at meeting`."}}