University of Turku
Visit websiteThe University of Turku has a long tradition in developing digital language resources and language technology tools, in particular for Finnish. This DARIAH node is led by two research groups TurkuNLP and Turku Data Science group.
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Affiliated Groups
Turku Data Science group is a leading Finnish research group in computational humanities. The main research focus is in the analysis of complex natural and social systems using the state-of-the-art approaches in scientific data analysis. The group has developed data science frameworks to advance computational analyses of cultural production, population studies, and ecological systems and runs a number of internationally recognized projects in these areas. The team coordinates the international rOpenGov developer network (ropengov.org) that provides open data science methods for open government data.
TurkuNLP is a leading Finnish research group in natural language processing (NLP) and digital language studies. Known for its strong interdisciplinary focus ranging from digital humanities to BioNLP and large language models, the group develops advanced language technology tools and resources, and runs a number of projects targeting language use in digital collections. TurkuNLP is internationally recognized for its work on dependency parsing, with widely used tools such as the Turku Neural Parser Pipeline and contributions to Universal Dependencies. Further, TurkuNLP works on the development of large language models such as FinGPT and Viking, and pioneers in structuring web corpora through web register (genre) identification.
Tools
Automated Harmonisation and Enrichment of Metadata
R packages for collecting and enriching Finnish cultural heritage metadata. Includes finna R package for collecting cultural metadata using the Finna API, finto R package for enriching metadata using the Finto API, and geofi R package for geospatial analysis and visualization of metadata.
Contact: Leo Lahti
In collaboration with: National Library of Finland
Harmonized Finnish National Bibliography
This resource provides a harmonized version of the Finnish national bibliography (Fennica) dataset as well as the code used for cleaning, enriching and automatically generating reports on the data. Developed by the University of Turku in partnership with the University of Helsinki.
Contact: Leo Lahti
In collaboration with: University of Helsinki, National Library of Finland, University of Jyväskylä
Text Network Tools for Parliamentary Data
This resource provides tools based on network analysis for the analysis of political text. With these tools, researchers will be able to analyze keyword embeddings of the FinParl corpus and identify how phrases or longer text passages are re-used over time in MPs plenary debates of the Finnish parliament. Resource developed by the University of Turku in partnership with Aalto University.
Contact: Kimmo Elo
In collaboration with: Aalto University, University of Jyväskylä
Tools to make sense of web data
This resource consists of two tools: one to classify toxic data in Finnish (e.g., insults, obscene language) from datasets retrieved from social media platforms; and another to identify registers (genres, e.g., reviews, interviews, news reports) from web content in diverse languages. Resource developed by TurkuNLP / University of Turku in partnership with the CSC.
Contact: Veronika Laippala
In collaboration with: CSC
Trainings
(Course in Finnish) Opiskelija perehtyy kirjallisuudentutkimukseen liittyviin digitaalisiin ihmistieteisiin teoreettisesti ja tutkimusartikkelien perusteella.
The doctoral researchers’ areas of research belong to linguistic, translation and literary scholarship and to other humanistic studies, and their approach is often multi- or cross-disciplinary.
(Course in Finnish) Opintojakso tarjoaa monipuolisen yleiskatsauksen digitaalisiin ihmistieteisiin ja sen eri osa-alueisiin. Erityisesti tarkastellaan digitaalisuuden merkitystä ja vaikutusta humanistisessa tutkimuksessa, ja esitellään sekä kvalitatiivisia että kvantitatiivisia menetelmiä, joilla digitaalisuutta ja digitaalista aineistoa voidaan lähestyä. Käsiteltäviä teemoja, työvälineitä ja menetelmiä ovat esimerkiksi tekstinlouhinta, verkosto-analyysi, datan visualisointi, digitaalinen vuorovaikutus ja tietokoneavusteinen tekijäntunnistus.
Digital language studies is a multidisciplinary field of research that examines language use in a digital environment and combines methods from linguistics and natural language processing (NLP). A Master’s Degree in Digital linguistics can be obtained from the Language Specialist Degree Programme offered by the School of Languages and Translation Studies.
The Master’s Degree Programme in Information and Communication Technology provides versatile and high quality ICT education in selected fields of ICT, with an established reputation in innovative, interdisciplinary, and international education.