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YAP™ was implemented as the Data Science Capstone project for the Johns Hopkins University Coursera Data Science Specialization.
The YAP™ app uses a 5-gram language model to predict the next word from user input, ranking the predictions using a method called Stupid Backoff, as described in 'Large Language Models in Machine Translation' by T. Brants et al, in EMNLP/CoNLL 2007.
The data supporting this project can be found at
The project milestone report is available at:
The final product pitch is available at:
A live demo of YAP™ is available at shinyapps.io:
If you wish to run locally in a Dockerized Shiny Server:
version: '3'
services:
yaptm:
image: sdweitzen/yap-tm
ports:
- '3838:3838'
volumes:
- shiny-db:/srv/shiny-server
volumes:
shiny-db:
Once the Docker app is up, YAP™ will be available in your browser at
localhost:3838.