The strength of a partner network
During its 40-year history, Lingsoft has participated in several international and Finnish projects with the aim of developing future language technology. It is important for us to work together with leading experts in the field, foster a broad network of partners and customers, and closely follow future trends in the language sector. AI and large language models are at the heart of many projects: they are used to develop smarter, more flexible and more versatile solutions for almost all sectors – from education to health, industry and safety.
Meeting genuine needs
Bringing together customer needs, the academic environment and business provides a good foundation for innovation. Lingsoft’s participation in projects is based on our strategic objectives, which aim to develop new innovations to support business growth.
The driving force behind innovation is real challenges that require solutions. For example, smoother processes can be used to better prioritise the time use of experts, translation technologies facilitate multilingual communication, and language analysis tools help us use text data more efficiently.
An experienced development partner
Good projects are built around partners that complement each other. By combining our strengths, we can create joint projects that often go beyond the resources of a single actor.
Lingsoft is an experienced and agile partner that understands the values of academic research, user cases arising from customer needs as well as the values of new business and its development.
Read more below about our ongoing projects.
Medallion
The Medallion project is developing a metaverse – an environment of virtual or augmented reality – for the needs of health care. The metaverse can be described as a virtual workspace where you can communicate with other experts, process patient data, and guide patients forward along the care path.
Lingsoft’s role in the project is to develop language technology solutions for the metaverse, such as speech tools, machine translation and tools for processing and generating natural language. The metaverse has to utilise large amounts of data, which is often in the form of free text. The processing of free text requires capabilities for the semantic analysis and processing of natural language to find the necessary information. For example, utilising large language models allows health care professionals to condense patients’ medical records and treatment history into summaries, and professional notes can be generated in real time through speech recognition.
The starting point for modern medicine is for the patient to be not only a passive recipient of care but an active participant in it. One dimension of the project involves developing methods of providing standard language information to patients about, for example, their diagnosis or treatment.
The project is led by the University of Tampere and funded by Business Finland. In addition to Lingsoft, the project participants include Aalto University, Turku University of Applied Sciences, Nokia, Optofidelity, Silo AI, Osgenic, Planmeca and Varjo.
Contact person
Elina Manner
elina.manner@lingsoft.fi
LAREINA
Lingsoft is a language industry partner in the LAREINA project. LAREINA – Language Resource Infrastructure for AI is a project funded by Business Finland (2023-25) in which the University of Helsinki and Aalto University collaborate with companies with the objective of researching, producing, testing and piloting speech technology components. The goal of the LAREINA project is to develop a commercially replicable model for building speech interfaces for small and medium-sized languages. In this project, Lingsoft is testing and evaluating the speech technology components produced by the academic partners.
Contact person
Michael Stormbom
michael.stormbom@lingsoft.fi
MALL
The MALL project (Multisensory Approach to Language Learning) project develops new, innovative ways of supporting the language learning of immigrants. The learning methods utilise language technology and augmented reality that can, for example, help simulate genuine work situations in the training environment. The methods aim to activate all senses to ensure comprehensive learning.
Lingsoft’s task in the project is to develop and integrate language technology solutions, such as utilising speech recognition and translation technologies when creating training environments.
The project is coordinated by Laurea University of Applied Sciences. In addition to Lingsoft, the partners include Haaga-Helia University of Applied Sciences and Arffman Oy.
Contact person
Aurora Piirto
aurora.piirto@lingsoft.fi
Necoverse
The Necoverse project uses various technologies to develop virtual environments for the design, training, and remote operations related to shipbuilding. These environments are known as ‘the industrial metaverse’. The metaverse allows experts around the world to cooperate effortlessly. In addition to smooth usability, the development of virtual environments focuses on energy efficiency and environmental impacts.
The Necoverse project is part of Meyer Turku’s NEcOLEAP ecosystem, which aims to make the entire shipbuilding process climate neutral.
International cooperation in the metaverse requires language technology and expertise to ensure the success of multilingual work. Lingsoft is developing a solution that combines translation and speech recognition technology to ensure seamless multilingual interaction.
The project includes DIMECC, Meyer Turku, dSign Vertti Kivi & Co, Finpeda, Hollinki, Kiwa Inspecta as well as the research institutes Aalto University, Turku University of Applied Sciences and VTT.
Contact person
Aurora Piirto
aurora.piirto@lingsoft.fi