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WLO Language Detection

A utility and webservice to detect language of text.

The tool is based on the Python langdetect package and wraps a webservice around it.

Prerequisites

  • Install Docker.
  • Build the Docker container.
sh build.sh

Prediction (detect language)

  • To test the detection just query the system with an existing document's text.
sh runPrediction.sh "Victor jagt zwölf Boxkämpfer quer über den großen Sylter Deich. The quick brown fox jumps over the lazy dog."

The result is a list of languages (ISO 639-1) with a propability score.

en 0.5714256620210416
de 0.4285713688317989

Webservice

  • To run the detection tool as a REST based webservice, the following script can be used:
sh runService.sh

  • The scripts deploys a CherryPy webservice in a docker container listening at http://localhost:8080/langdetect.

  • To retrieve the languages for a given text, create a POST request and submit a json document with a text parameter, e.g.:

curl -d '{"text" : "Victor jagt zwölf Boxkämpfer quer über den großen Sylter Deich. The quick brown fox jumps over the lazy dog."}' -H "Content-Type: application/json" -X POST http://0.0.0.0:8080/langdetect