Nettsider med emneord «language technology»
Graph representations of word embedding models: evaluating existing approaches and possible applications in language data processing and visualization.
In joint work, SANT and NLPL/EOSC-Nordic have trained and released the first large-scale transformer-based language model for Norwegian: NorBERT!
NLP researchers both from and outside LTG are presenting their findings in an informal environment, followed by questions and discussions.
A biweekly seminar run by and for LTG's master's students.
The Nordic Language Processing Laboratory (NLPL) welcomes fifty researchers from Northern Europe (and beyond) for its third Winter School in the Norwegian mountains.
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.
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 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.
The Talk of Norway (ToN) is now publicly available.