boiboi796/Yoruba-NLP

Yoruba NLP System Overview A Java-based Natural Language Processing (NLP) system designed for analyzing and interpreting Yoruba text. The project implements a complete NLP pipeline that processes text through tokenization, lemmatization, part-of-speech tagging, syntax validation, and language interpretation. Features - Text preprocessing and normalization - Yoruba word tokenization - Lemmatization and root word extraction - Part-of-Speech (POS) tagging - Grammar and syntax validation - Sentence interpretation - Modular and extensible design Technologies Used - Java - Java Collections Framework - Rule-based NLP techniques - Custom Yoruba linguistic resources