Webpages tagged with «language technology»
An important priority for LTG in recent years has been to create NLP resources for the Norwegian language, both in terms of modeling and datasets. This page provides an overview of our existing and ongoing projects to support Norwegian NLP.
A biweekly seminar run by and for LTG's master's students.
NLP researchers both from and outside LTG are presenting their findings in an informal environment, followed by questions and discussions.
In joint work, SANT and NLPL/EOSC-Nordic have trained and released the first large-scale transformer-based language model for Norwegian: NorBERT!
The Nordic Language Processing Laboratory (NLPL) welcomes fifty researchers from Northern Europe (and beyond) for its third Winter School in the Norwegian mountains.
The SANT project will be presented at the Cutting Edge Festival.
The SANT project develops resources for Sentiment Analysis for Norwegian Text. While coordinated by the Language Technology Group (LTG) at IFI/UiO, collaborating partners include NRK, Schibsted and Aller Media.
The Talk of Norway (ToN) is now publicly available.
In this ongoing cross-disciplinary collaboration, researchers in Language Technology (LT) and Political Science (PS) are applying supervised and unsupervised machine learning methods to data from the Norwegian parliament in order to gather knowledge spanning across different dimensions.
The Language Analysis Portal gives non-technical researchers in the Humanities and Social Sciences easy-to-use access to automated language analysis tools that are invoked at the click of a few buttons and execute ‘behind the scenes’ on a national supercomputer.
The objective of this project is to create an on-line portal for language analysis, called LAP. The effort forms part of the CLARINO infrastructure project and one of the overall goals is to make language technology readily accessible and usable for researchers from the humanities and social sciences.
The objective of the WeSearch project is to prepare general purpose semantic parsing technology: automated large-scale analysis of user-generated Web content (UGC), mapping from human language to formal representations of meaning. Technology will be developed for English, but the research will result in techniques and representations that are directly applicable to other human languages.
