Natural Language Processing (NLP) Fundamentals

Questions and Answers

To create software that understands written and spoken language (correct)

To analyze and interpret visual data

To develop autonomous robots

To optimize database queries

Building intelligent applications

Training conversational language models

Understanding and analyzing text

Speech recognition and synthesis (correct)

To develop machine learning models

To test and deploy natural language processing solutions

To create visualizations for big data analytics

To explore Azure AI Language features and test them (correct)

It enables real-time translations and conversation transcriptions Signup and view all the answers

Interpreting spoken language and synthesizing speech responses Signup and view all the answers

They are both Microsoft services for building natural language processing solutions Signup and view all the answers

Study Notes

NLP is the area of AI that deals with creating software that understands written and spoken language.

Azure AI Language is a service that enables building natural language processing solutions.
Features of Azure AI Language include:
- Understanding and analyzing text.
- Training conversational language models that can understand spoken or text-based commands.
- Building intelligent applications.

Azure AI Speech is another service that can be used to build natural language processing solutions.
Features of Azure AI Speech include:
- Speech recognition and synthesis.
- Real-time translations.
- Conversation transcriptions.
- More features available in the Azure Speech Studio.

Azure Language Studio is where you can explore and use Azure AI Language features.
Azure Speech Studio is where you can explore and use Azure AI Speech features.
Studios provide a testing environment for NLP solutions.