Parsing in Natural Language Processing
- not necessary
This course is tailored for the beginner and intermediate learners. NLP stands for Natural Language Processing, which is a part of Computer Science, Human language, and Artificial Intelligence. It is the technology that is used by machines to understand, analyze, manipulate, and interpret human's languages. Natural Language Understanding (NLU) helps the machine to understand and analyze human language by extracting the metadata from content such as concepts, entities, keywords, emotion, relations, and semantic roles. Even though NLP is not a new domain, it catches attention of significant researches all over the world. Natural languages are usually used by human for verbal or written communication such as English, Marathi, Spanish etc. . NLP has its roots in 8th decade of previous century. It is branch of Artificial Intelligence which deals with processing of natural languages, specifically for some pragmatics. Its significance lies in applications developed by developers to make lives of common man easy and comfortable. Now a days this is one of the domain of research. There are typical phases of NLP such as morphological analysis, syntax analysis, semantic analysis, discourse analysis, pragmatic analysis and phonological analysis if required in an application. This course is tailored for the beginner and intermediate learners. Welcome to the course!!! I will count on your active participation and feedback. Journey of course includes Introduction to NLP, Applications of NLP , Phases of NL, Syntax Analysis, Simple top down parser, bottom up chart parser, top down chart parser.
Who this course is for:
- those who want start their work in the are of Natural Language Processing
This is Shilpa Mene, working as Assistant Professor in K. K. Wagh Institute of Engineering Education and Research, Nashik, Maharashtra, India from 14 years. NLP is my domain of interest. I am working in this area from 4 years. Other subjects of my interest are database management system, information retrieval, system programming. I love to teach.