Parts of Speech Tag and Dependency Grammer
Objective
- Parts of speech tagging and dependency parsing are widely used techniques in text processing.
- Understand parts of speech tags and grammars with their respective use cases in Natural language processing
Introduction
Natural language processing is a branch of machine learning that deals with how machines understand human languages. Text data is a widely available problem domain for NLP tasks.
In order to work with text data, it is important to transform the raw text into a form that can be understood and used by machine learning algorithms, this is called text preprocessing. We have various techniques for text preprocessing like stemming, lemmatization, POS tagging, and dependency parsing.
Note: If you are more interested in learning concepts in an Audio-Visual format, We have this entire article explained in the video below. If not, you may continue reading.
In this article, we are going to discuss the structure-related properties of text data. Here, we will be talking about the