The Dialect of Machines – How do machines respond to human language?
What is language? It’s something that has helped humans to convert invisible ideas into visible things since forever! But what about machines? Do they understand the language of humans? Can they react or produce outputs according to a human’s order? Well, YES!
We all type texts in search boxes, emails, social media etc., but do you know that whatever output a computer produces as per your search request is not based on the words you type? It’s because the processors perform simple arithmetic like addition and multiplication to trigger a response!
All this is a part of a broader concept, known as Natural Language Processing in AI. NLP is a subfield of Computer Science and Artificial Intelligence concerned with interactions between computers and human (natural) languages. Through NLP AI, machine learning algorithms are applied to text and speech.
Natural language processing examples are virtual assistants like Cortana and Siri that recognize natural voice to set up reminders, open apps, send emails, start a call, send a text, use navigation and so on. Gmail, a popular email service by Google, uses spam detection to filter out spam emails. Interesting, isn’t it?
When it comes to processing text by machine, we need to convert the text into a numerical form that’s easily understandable by the machine. Most of the Machine learning and statistical model work with numeric data hence we need to convert all the text into numbers. One of the most famous techniques that converts raw text into numbers or vectors is Bag of Words.
To know about NLP basics, how the Bag of Words principle works and how it can be implemented in Python, read the complete story on ‘Introduction to Bag of Words model (BoW): Natural Language Processing’ on IndiaAI.
Language has always been a bridge between invisible ideas and visible expressions for humans, and now, through artificial intelligence, machines are beginning to understand and respond to human language as well. This fascinating capability is enabled by Natural Language Processing (NLP), a subfield of AI that focuses on the interaction between computers and human languages. Machine learning algorithms play a crucial role in NLP by analyzing and interpreting text and speech, allowing virtual assistants like Cortana and Siri to perform tasks such as setting reminders, sending texts, and navigating apps. An essential technique in NLP is the Bag of Words model, which converts text into numerical data that machines can easily process. For those interested in the basics of NLP and how to implement the Bag of Words model in Python, further insights can be found in the article ‘Introduction to Bag of Words model (BoW): Natural Language Processing’ on IndiaAI.
Stay ahead of the curve and fuel your curiosity with our comprehensive and engaging popular blogs.: