ASAF MUHAMMAD

Research Abstract

This research focuses on advancing machine learning algorithms to enhance the syntactic/ semantic interpretation of natural language texts. This research addresses his two main novel techniques used in natural language processing for syntactic analysis including part-of-speech (PoS) tagging, parsing, and semantic interpretation such as word embeddings and named entity recognition within machine learning frameworks.

The ultimate goal of this research is to develop state-of-the-art machine learning algorithms by combining natural language processing (NLP) to enable computers to understand natural language as humans do, contributing to a more robust and sophisticatedunderstanding of natural language.