论文标题
基于WEKA的：五个国家法语的主要功能和分类器
WEKA-Based: Key Features and Classifier for French of Five Countries
论文作者
论文摘要
本文描述了法国方言识别系统，该系统将适当区分不同的区域法语方言。五个地区的语料库 - 摩纳哥，讲法语，比利时，讲法语的瑞士，讲法语的加拿大和法国，这是素描引擎针对性的。语料库的内容与饮食，饮酒，睡眠和生活的四个主题有关，这些主题与流行生活密切相关。通过处理Python编码的预处理器和Waikato环境来获得知识分析（WEKA）数据分析工具，该工具包含许多过滤器和用于机器学习的分类器，从而获得了实验结果。
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.
