For Meteor coding challenge. Written in TypeScript
To run the full application (with bigram predicitions based on context):
node js/index.jsIn this version, you can type numbers to add to the current word, letters to select a suggestion to add to your message, backspace to delete a number, or enter to select the first suggestion.
To run the simple predictions in the console:
node js/simple.jsYou can configure the program in config.json. Here, you can change the max number of suggestions it searches for and prints (by default, 10).
You can also configure the dialpad mappings. In theory, you could even create a map including nearby characters on a keyboard to repurpose lib.ts as a version of autocorrect. However, this will not work with my main stdin program, since it uses letters to select what you would like to add to the message.
No installation is required
If you would like to rebuild the word library and the 2-gram library from updated files, you can replace assets/words.txt and assets/2grams.txt with your new files. Then, run npm run build.
assets/words.txt is from https://github.com/first20hours/google-10000-english, and it contains the 20,000 most common words in English from Google's trillion words corpus in frequency order. w2_.txt is the "non case sensitive" 2-gram list from http://www.ngrams.info/download_coca.asp. It contains bigrams to give even better suggestions to the user.