The field or the branch of Artificial Intelligence which helps the computers in understanding the human language is called Natural Language Processing (NLP). If you are interested in digging more into the important concepts related to NLP, then you have landed in the right place. Read further to find in detail.
Table of Contents
Now, first of all, what is the goal of NLP?
Natural Language Processing helps the machines to acquire the ability to comprehend the human language or speech to limit or eliminate the use of languages like C, C++, Java, or Ruby.
Now, you might be wondering what exactly is NLP?
Firstly, natural language processing is an integral component of AI(Artificial Intelligence). Also, NLP makes use of ML(Machine Learning). Machine learning can be considered as a type of Artificial Intelligence that involves feeding the computer or the machine with data and this gives the computer the ability to recognize patterns to understand human speech in an improved manner.
Now, we will talk about the various uses of Artificial Intelligence.
1)Sentence partitioning, understanding the parts of a sentence
First of all, natural language processing is beneficial in breaking down the sentence or the human speech into various parts and this helps to understand the syntactic structure of a sentence.
2)Machine Translation Programs
The use of natural language processing in machine translation programs is increasing day by day. Machine translation programs involve automatic translation of one human language into another human language.
3)Coreference Resolution
When we talk in context to computational linguistics, the coreference resolution is found to be very useful in analyzing the set of words that may be referring to the same individual or object.
4)Helps in summarizing
In addition to the above benefits of NLP, natural language processing can be used to shorten or summarize a large piece of text or article.
5) Deep Analytics
Deep Analytics can be considered as a comprehensive data processing technique.
It helps in the analysis of data and extraction or concluding large data sets. Also, you need to understand that deep analytics is found to be very useful for non-simplistic queries that involve unstructured data.
There are a lot of advantages of using NLP. NLP can help to enhance the efficiency or accuracy of the process of documentation. Many companies are using natural language processing as a technique to extract highly important information from large data sets.
