An accurate recognition model and rapid deployment process were exactly what the staff of Työterveys Lappica, a provider of occupational health services, needed to enhance their everyday workflow.
Every one of us is an expert in a field. Be it crocheting, rheumatology, architecture or gardening, all fields have their own specialist terminology that makes it easier to talk concisely about complicated and specific matters.
Everyone must use health care services at some point, and many of us read the doctor’s or nurse’s entries concerning our treatment. The entries are written with health care specialist terminology to make them as precise and unambiguous as possible when various professionals process them.
In this blog post we'll describe how open source speech and language processing tools linked with the Microservices at Your Service project funded by the European Union were used to develop new processes and services for Ellibs.
Lingsoft has its roots in academia, as it was established in 1986 by two professors, Fred Karlsson and Kimmo Koskeniemi, from the University of Helsinki. Since then, collaborating with Finnish and other Nordic research organisations has always been an important part of Lingsoft’s strategy for enabling language technology solutions with state-of-the-art performance for the Nordic languages.
Lingsoft will participate in Meta-forum 2021, which is the third annual European Language Grid (ELG) conference.
Lingsoft arranged a Docker and API workshop for beginners as part of our "Microservices at Your Service" project. Filip Ginter and Juhani Luotolahti from Turku NLP group assisted Lingsoft's Sebastian Andersson with the workshop presentations. The workshop is targeted at people interested in speech and language technology development who are beginners at REST API and Docker.
The goal of the ELG platform is to become the primary platform for European language technology and to provide an easy way to integrate language technology in other solutions. The ELG provides access to hundreds of commercial and non-commercial language technologies for all European languages, including both tools and services, as well as data sets and resources.
In recent years, a new generation of artificial intelligence-based machine translation has revolutionised the daily lives of ordinary consumers and the work of translation professionals. Automatic translation is available in online services and social media platforms, where it often helps users understand key content. However, automated translations occasionally cause misunderstandings, frustration or even embarrassment, negatively affectingthe customer experience and the organisation’s brand image.