Natural language processing (NLP) is a subfield of artificial intelligence and computer science that focuses on the tokenization of data – the parsing of human language into its elemental pieces. By combining computational linguistics with statistical machine learning techniques and deep learning models, NLP enables computers to process human language in the form of text or voice data. Lemmatization and part of speech tagging enable a deep understanding of language, including context, the speaker or writer’s intent and sentiment.
IBM Watson® makes complex NLP technologies accessible to employees who are not data scientists. Our products are built for non-technical users, to help your business easily streamline business operations, increase employee productivity and simplify mission-critical business processes.
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IBM Watson Natural Language Processing for Embed
50% reduction in time spent on information-gathering tasks.¹
Oil and gas company reaches USD 10 million in time savings, using AI search and passage retrieval to make insights more accessible.²
An insurance organization used natural language models to reduce text data analysis by 90%.³
Law firms gain 4X productivity and earn 30% more revenue.⁴
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Infuse powerful natural language AI into commercial applications with a containerized library designed to empower IBM partners with greater flexibility.
Tap into the capabilities of this natural language tool kit and analyze text in big data in formats including HTML, webpages, social media and more.
Apply natural language processing to discover insights and answers more quickly, improving operational workflows.
Build your applications faster and with more flexibility using containerized libraries of enterprise-grade AI for automating speech-to-text and text-to-speech transformation.
Use the services on the IBM Cloud to convert speech into text using AI-powered speech recognition and transcription in multiple languages for a variety of use cases.
Use the services on the IBM Cloud to translate written text into natural-sounding audio in a variety of languages and voices within an existing application or within Watson Assistant.
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Take a deeper dive into NLP concepts.
Watch a 3-minute video on how a government employee uses NLP to better inform a local hurricane response strategy.
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Learn about the recent expansion of IBM embeddable AI software with release of Watson NLP and Speech libraries. IBM Ecosystem partners, clients and developers can more quickly and cost-effectively build their own AI-powered solutions.
¹ The Total Economic Impact™ Of IBM Watson Natural Language Processing (NLP) Solutions,” (PDF, 1 MB) (Forrester: 2021), 2.
² Preserving institutional wisdom, ibm.com, 2021.
³ Junko Kato, ibm.com, 2021.
⁴ Karla Capela Morais, ibm.com, 2021.