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language_detector

Cathal Butler | G00346889 | Final Year Software Development

An Asynchronous Language Detection System that builds a language database on the WiLI benchmark dataset. Multiple users can query a language by inputting their own string.

Find project spec here

Environment Setups

Environment setup can be done in two ways, ether install Tomcat or use a Docker container with tomcat.

Place the wili-2018-Edited.txt in a directory called data/ @ the root of your filesystem.

Linux /data Windows C:/data

How to run with Docker

docker run -p 8888:8080

  • To mount the volume with the ngrams.war amend the command with the the path were you downloaded the .war file too -v [download location]/ngrams.war:/usr/local/tomcat/webapps/ngrams.war
  • Container name: tomcat:9.0.30-jdk8-openjdk

Navigate to localhost:8888/ngrams

How to run with Tomcat

Navigate to the install location of tomcat and inside the /webapps folder drop the ngrams.war file.

Run the command startup command for tomcat found in the bin folder to start tomcat.

Navigate to localhost:8080/ngrams

Development & Testing

This project was developed on my own personal laptop running