Detecting the natural language in use using LingPipe

LingPipe provides a technique for the identification of languages. It is based on a model that was derived from training data found in the Leipzig Corpora Collection (http://corpora.uni-leipzig.de/en?corpusId=deu_newscrawl_2011). In this recipe, we will demonstrate how this model can be used to identify the language used in a document.

Getting ready

To prepare, we need to follow these steps:

1. Create a new Maven project
2. Add the following dependency to the project's POM file:

<!-- https://mvnrepository.com/artifact/de.julielab/aliasi-lingpipe -->
<dependency>
    <groupId>de.julielab</groupId>
    <artifactId>aliasi-lingpipe</artifactId...