Origins and Challenges NLP is mistakenly called NLU NLU involves only Interpretation where as NLP involves Interpretation (Understanding) and Generation (production). NLP includes Speech Processing. Computational models are divided into two types. 1. Knowledge driven : the system relay on explicitly coded linguistic knowledge represented as set of rules called grammar. 2. Data driven : presume the existence of large amount of data is used to learn syntactic patterns using ML techniques. The amount of human effort is less and the quality dependents on the quality of data.
In this course we balance between knowledge (semantic)driven and data driven in one hand and theory and practical on the other hand. The amount of information available in www is abundance so we study Information retrieval using NLP.