Technology has evolved so much that artificial intelligence can exhibit human-like behavior. One of them is being able to process and understand data and transform them into information that users can read. This is made possible thanks to the best natural language understanding software available right now.
21+ Natural Language Understanding Software
1. Microsoft Knowledge Exploration Service
2. Microsoft Bing Spell Check API
5. Amazon Comprehend
8. Microsoft Language Understanding Intelligent Service (LUIS)
9. Microsoft Bing Autosuggest API
10. Microsoft Academic Knowledge API
11. Stanford CoreNLP
14. Azure Translator Text API
18. Relative Insight
What Is Natural Language Understanding Software?
Natural language understanding software, known as NLU software is an artificial intelligence software that helps users of the software to process understand soft data generated by the software’s machine learning and algorithm features. The natural language processor software’s highly intelligent AI can transform simple and complex data into pieces of information that are understandable as if they were interpreted by a human who understands data analytics.
Natural language understanding software makes it easy for users to read data as the software’s machine learning interprets the data to make it easy for human users to read. By transforming complex data into understandable pieces of information through a natural language program, users can make well-guided decisions on what to do next with whatever they need to do. The natural language processing software can also help make artificial intelligence smarter since it processes and interprets data constantly, with its extensive processing that includes speech tagging, automated summarization, machine translation software, mood reading, and more. The more data the software is fed, the better it can generate accurate algorithm results.
Natural language understanding software has a built-in machine learning and algorithm technology that allows for deep learning for data and transforms them into information pieces that felt natural and human that can be read by humans easily. The software should be able to support as many languages as possible as the software may contain translation features and many users of the software may not have English as their first language. The software should be able to continuously improve its artificial intelligence as it’s being fed more data.
- Deep learning tools
- Multi-language support
- Tools to continuously improving AI with data
Top 10 Natural Language Understanding Software
1. Microsoft Language Understanding Intelligent Service
Microsoft Language Understanding Intelligent Service uses its machine learning software feature to build natural languages systems that can be implemented into other software services. Microsoft has 182,268 employees and earned a revenue of $41.7 billion in the third quarter of 2021.
2. Amazon Comprehend
Amazon Comprehend uses machine learning to organize unstructured data into useful information in their simple-to-use software. Amazon has 1 million employees and earned a revenue of $113.1 billion in the second quarter of 2021.
OpenNLP’s machine learning toolkit software helps users understand data better thanks to its extensive tools that make their natural language human-like. OpenNLP is owned and developed by Apache Software, which the parent company has 2,092 employees and earns annual revenue of $303.3 million.
4. Relative Insight
Relative Insight’s language comparison software helps users to translate content easily especially for kids. Relative Insight has 121 employees and earns annual revenue of $17.5 million.
Natural’s language processing software analyzes human speech and text to provide the best solutions available. Natural is owned and developed by Simplifai, which the parent company has 66 employees and earns annual revenue of $9.6 million.
SpaCy provides industrial-level natural language processing software tools that can generate one of the best-translated contents in the West right now. SpaCy has around 25 employees and earns a revenue of around $5 million.
8. Stanford CoreNLP
Stanford CoreNLP provides users with its natural language processing software that uses Java to process data and transform them into information pieces that is easy to interpret. Stanford NLP Group has less than 25 employees and earns a revenue of not more than $5 million.
MonkeyLearn allows users to speed up their users into competing projects, which is slated for the 2022 release. MonkeyLearn has 27 employees and earned annual revenue of $3.9 million.
Gensim provides a natural language understanding software that uses Python software to process data for users in complex ways. Gensim is developed by Radim Řehůřek.
What other software does natural language understanding software integrate with?
Natural language understanding software integrates well with various artificial intelligence software, such as language translation software and chatbots software, which the software itself has the capabilities to automatically translate and understand the content of the message. The software also integrates well with social media monitoring software as it scans for social media posts that are relevant to the demands and filters set by the users.
Is there a difference between natural language understanding software and natural language generation software?
While they are under the same family of natural language processing software, each has different functionalities. Natural language understanding software focuses on interpreting the data that is easy for users to read, while natural language generation software focuses on transforming data into information pieces that are written as if it was human writing them.
How much does natural language understanding software cost?
Pricing for natural language understanding software is usually customized, with each software program offering subscription tiers that offer more features as the price increases. Pricing for natural language understanding software varies depending on the features available and the intended target audience. Personal users and small companies may benefit from using a low-cost natural language understanding software while professional users and large companies may benefit from a high-cost software.
With natural language understanding software, users can better understand previously unrecognizable data thanks to the software’s extensive and smart artificial intelligence.
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