  This paper describes a French dialect recognition system that will
appropriately distinguish between different regional French dialects. A corpus
of five regions - Monaco, French-speaking, Belgium, French-speaking
Switzerland, French-speaking Canada and France, which is targeted
forconstruction by the Sketch Engine. The content of the corpus is related to
the four themes of eating, drinking, sleeping and living, which are closely
linked to popular life. The experimental results were obtained through the
processing of a python coded pre-processor and Waikato Environment for
Knowledge Analysis (WEKA) data analytic tool which contains many filters and
classifiers for machine learning.
