Natural Language Processing

Natural language processing has become a key competence in modern information technology, with applications in virtually all areas of the private and public sectors that deal with language data. In general, NLP applications are about extracting useful information from language data, and in particular from text material. Of course, what counts as useful information depends on the user's needs, but examples include:

• answering questions about a text,
• finding what topics the text is about,
• identifying names and places,
• summarizing the text,
• categorizing it,
• finding similar other texts,
• translating it,
• or even generating a whole new text.

In order to perform these types of NLP tasks in the best possible way, we need algorithms that can learn and understand languages ​​in the same way as humans do. Recent years have seen significant breakthroughs in language AI, which have produced results that in some cases approach human performance. This type of modern language AI has the potential to radically improve the handling of language data in both the private and public sectors. In particular, we are committed to support Swedish actors in developing and integrating the latest NLP technologies into their operations.

We have extensive experience in applied NLP research, and we have leading expertise in finding NLP solutions to business-critical problems. Our customers and partners are in academia as well as in the private and public sectors.