natural language processing

What are the positive impacts of natural language processing in the business and education sectors?

Common Questions Science and Technology

Natural language processing plays a vital role in education and enterprises. It helps businesses streamline operations, simplify processes, and increase employee productivity. NPL also helps in answering questions and summarizing and paraphrasing in learning.

What is natural language processing? 

Natural language processing is artificial intelligence enabling computers and machines to understand, interpret, and manipulate human language, allowing businesses and schools to work on written and spoken wording.

Natural language processing combines computational linguistics and rule-based modeling of human statistical language, deep learning models, and machine learning. Because of the combination, NLP software can translate text from one language to another within seconds and, sometimes, nearing real-time.

Natural language processing can go beyond language translation and create accurate digital assistants or chatbots that allow you to chat manually or automatically.

Now that you understand natural language processing let’s dive into its benefits in the education center and organizations.

Benefits of natural language processing

Businesses leveraging natural language processing enhance customer service and offer data analysis, giving them a competitive advantage and providing quality results. Here are some of the benefits of using natural language processing:

Summarization and paraphrasing

Natural language processing can help businesses and schools extract relevant information from different sources. It summarizes data and creates a shorter version of a document without altering the meaning or missing out on key points.

NPL uses two approaches to summarize data; extraction-based and obstruction-based. The former uses a model that extracts phrases and sentences from an existing test without extra documentation, while the latter creates an entirely new summary involving new phrases.

Machine translation

One of the primary uses of NPL is machine translation because of its capability to understand the context and preserve the meaning of a whole sentence. It is primarily useful in big companies targeting large audiences beyond their geographical barriers. It allows them to communicate effectively both internally and externally.

Question answering

Businesses and learning institutions can leverage natural language processing software through query and context understanding. Businesses can use these to improve user experience and insight discovery, as NPL can provide better responses to specific queries.

NPL validates the importance of chatbots and virtual assistants in customer support delivery as they can accurately respond to questions.

NPL can also be handy when developing online quiz software to test learners or even take interviews.

NPL Improve reading skills

Learners have different learning paces, so they may have different reading skills. NPL has applications that can help students with reading problems in a classroom. NPL can detect a kink in every student’s reading skills and automatically provide feedback on how to improve in real time.

This is something that a teacher cannot do for all the students because of limited time and resources; this is why NPL has become a darling for many teachers and students.

NPL can also assist students in reading content in a way most suited to them in terms of challenge and productivity, which teachers need help to figure out.

Document search and match

In organizations, large quantities of documents make it difficult to accurately identify and match them, especially if it’s something that’s needed urgently; this is where ML-based NPL comes in. It can automatically analyze vast amounts of data and identify matches from all sources.

For example, suppose you are a recruiter urgently looking to hire the right candidate for a certain position. In that case, you can use the statistical and linguistic capabilities of NPL to identify the best possible candidates.

Searching

NPL has algorithms that identify specific elements in data sources in an in-text or on-site search, enabling it to provide exact results.

It, therefore, decrypts what users mean when making a search query. It can detect misspelled words and similar entries, thus providing a seamless search experience.

Natural language processing Helps in writing

In today’s classrooms, teachers use NPL to help students enhance their writing and reading skills. It helps students to improve their writing by providing meaningful comments when they upload their essays in NPL software.

An example of an NPL technological application is Grammarly- a software that analyzes text and makes suggestions to improve writing.

 As a teacher, you should use NPL technology to understand your students and their unique skills and not just to help them submit quality work.

Conclusion 

Natural language processing is a branch of artificial intelligence that manipulates human language, like speech and text. Organizations mostly use it to improve customer experience, but learning institutions also leverage its use.

NLP has many benefits, including summarizing data, machine translation, question answering, etc.