Also called grammatical tagging, this is the process of determining which part of speech a word or piece of text is, based on its use and context. For example, part-of-speech identifies “make” as a verb in “I can make a paper plane,” and as a noun in “What make of car do ...
So, this is where the machine analysis the different aspects of a language. Now, in this blog on “What is Natural Language Processing?” we will implement the NLP concepts, for that we would need some tailor-made packages. In this Natural Language Processing tutorial, we will study two ...
NLP preprocessing is necessary to put text into a format that deep learning models can more easily analyze. There are several NLP preprocessing methods that are used together. The main ones are: Converting to lowercase: In terms of the meaning of a word, there is little difference between ...
The intriguing technology underlying this behavior is called natural language processing, or NLP. We will explore the field of natural language processing (NLP) in this blog post to learn how machines are becoming more and more adept at comprehending human language. Also if you have not read our...
Natural language processing (NLP) is the ability of a computer program to understand human language as it's spoken and written -- referred to as natural language. It's a component of artificial intelligence (AI). NLP has existed for more than 50 years and has roots in the field of lingui...
Natural language processing (NLP) is a branch of artificial intelligence (AI) that enables computers to comprehend, generate, and manipulate human language. Natural language processing has the ability to interrogate the data with natural language text or voice. This is also called “language in.”...
Deep learning is a subset of machine learning that uses multilayered neural networks, to simulate the complex decision-making power of the human brain.
By using a bigger dataset and smarter training techniques, RoBERTa can handle tricky text with ease, making it a favorite in the NLP world. T5 (Text-to-Text Transfer Transformer) This LLM likes to keep things simple - everything is framed as a text-to-text task. It's perfect for...
Today, most NLP applications use some form of deep learning. Applications NLP is leaving its mark in many domains, but in several areas, advances in the field have even paved the way for new applications. Digital assistants:Alexa, Siri, and Cortana use natural language processing to map your...
Is NLP a new concept? In recent years we have become more accustomed to AI and the pairing of language and technology with the influx of large language models like ChatGPT, yet the science and process behind them, including NLP, has been around for decades. ...