Natural Language Understanding
Natural Language Understanding (NLU) will be key for making the most of AI and enables tasks as wide ranging as using voice assistants at home to a reliable automatization of certain social services. To accelerate innovation, development of applications, and implementation in this area, NLU therefore constitutes one of AI Sweden’s strategic initiatives.
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What is Natural Language Understanding?
Natural Language Understanding (NLU) is a collective term for the applied aspects of how computer programs or electronic devices can analyze, produce, modify or respond to human text and speech. Natural Language Processing (NLP) is a core element of this area. NLP algorithms (language models) learn from language data. They enable machine understanding and machine representation of natural (human) language. Using NLP, applications and tools can be used to identify patterns and provide insights hidden in large amounts of language data, too vast for humans to process. Based on patterns and insights, unstructured data can be turned into actionable information, allowing us to make data-driven and well-informed decisions.
In order for Sweden to benefit from the rapid development in the applied language technology area, language models need to be trained on datasets for Swedish and minority languages spoken in Sweden.
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Applied Language Technology Team
Magnus Sahlgren
Francisca Hoyer
Love Börjeson
Johanna Bergman
Joey Öhman
Ariel Ekgren
Tim Isbister
Felix Stollenwerk
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