Research

HUMINFRA  är en ny distribuerad, nationell infrastruktur för forskning inom humaniora, konst och samhällsvetenskap.

This project uses Construction Grammar to develop a linguistic network that (a) accounts for Swedish grammatical constructions and (b) connects them to constructions in other languages.

Accessibility of research data is critical for advances in many research fields, but textual data often cannot be shared due to the presence of personal and sensitive information, e.g names, political opinions. GDPR suggests pseudonymization as a solution, but we need to learn more about it before adopting it for manipulation of research data.

Inom ramarna för projektet förvaltas och vidareutvecklas Svenska Akademiens lexikala databas (Salex). Vidare bedrivs arbete med Svenska Akademiens båda samtidsordböcker Svenska Akademiens ordlista (SAOL) och Svensk ordbok utgiven av Svenska Akademien (SO). Arbetet sker på uppdrag av och i samarbete med Svenska Akademien.

A joint project between Språkbanken Text, FLoV and CLASP, with the purpose of creating and exploring methods for argumentation technology.

Developing tools for systematic studies of text classification

This program has two main aims, firstly to develop corpus-based methods for detecting semantic change (over time) and variation (across social groups and media). This will create general tools for the study and detection of language change at large-scale and directly benefit historical linguistics and lexicography. Secondly, we will collaborate with researchers from social sciences, gender studies, and literature to answer their research questions. We will develop tools, evaluation data, and research methodology for their specific needs.

The market Language primarily is funded by MAW in which we look at the changing concepts around “the market”. They have transitioned from implying a concrete physical market to increasingly abstract markets like Europe-wide iron markets, as well as marriage and dating markets. They have also increasingly become actors in our lives, “the market reacted badly to the new corona restrictions”. We will complement the conceptual historians in-depth analyses with computational models of change. This project ranges 2022-2025.