Research on Mini French Corpus Construction Based on Decision Tree

Abstract

To meet the needs of French learners for language training, the mini-language corpus construction and its language evaluation are put forward, introducing noise reduction technology and an extraction feature module. Keywords, statistical main word frequency information, the corresponding paragraph, and the construction principle are marked to learn with the technology. The method needs to collect a representative French corpus and regularly update it. By using new software analysis data, the experiment found that the corpus through a computer program has different combinations, which meets the application needs of students. A comprehensive assessment of French vocabulary greatly improves the application efficiency of the corpus. The result confirms the design ideas proposed by the mini French corpus and effectively helps the students master and use French vocabulary.