Parsing in Natural Language Processing

Parsing in Natural Language Processing, available at Free, has an average rating of 4.15, with 7 lectures, based on 32 reviews, and has 3685 subscribers.

You will learn about Introduction of NLP application areas of NLP phases of NLP top down parsing and bottom up parsing algorithm chart parsing syntax analysis in NLP This course is ideal for individuals who are those who want start their work in the are of Natural Language Processing It is particularly useful for those who want start their work in the are of Natural Language Processing.

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Summary

Title: Parsing in Natural Language Processing

Price: Free

Average Rating: 4.15

Number of Lectures: 7

Number of Published Lectures: 7

Number of Curriculum Items: 7

Number of Published Curriculum Objects: 7

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Introduction of NLP
application areas of NLP
phases of NLP
top down parsing and bottom up parsing algorithm
chart parsing
syntax analysis in NLP

Who Should Attend

those who want start their work in the are of Natural Language Processing

Target Audiences

those who want start their work in the are of Natural Language Processing

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.

Course Curriculum

Chapter 1: Natural Language Processing Primer

Lecture 1: Lecture 1: Introduction to NLP

Lecture 2: Lecture 2: Applications of NLP

Chapter 2: Introduction to NLP

Lecture 1: Lecture 3: Phases of NLP

Lecture 2: Lecture 4: Syntax Analysis

Chapter 3: Parsing Algorithms

Lecture 1: Lecture 5: Simple Top Down Parser

Lecture 2: Lecture 6: Bottom up Chart Parser

Lecture 3: Lecture 7: Top Down Chart Parser

Instructors

Shilpa Mene
Assistant Professor

Rating Distribution

1 stars: 2 votes
2 stars: 0 votes
3 stars: 6 votes
4 stars: 4 votes
5 stars: 20 votes

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