Nettsider med emneord «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.
The Nordic Language Processing Laboratory (NLPL) welcomes fifty researchers from Northern Europe (and beyond) for its third Winter School in the Norwegian mountains.
Denne sida vert dessverre ikkje vedlikehalden på norsk. Les meir frå prosjektet på den engelske prosjektsida.
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 SANT project aims to create training data and machine-learned models for Sentiment Analysis for Norwegian Text. While coordinated by the Language Technology Group at IFI/UiO, collaborating partners include NRK, Schibsted and Aller Media.
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.
NLP researchers both from and outside LTG are presenting their findings in an informal environment, followed by questions and discussions.
Research centers from across Northern Europe, the US-based Common Crawl Foundation, and the Nordic e-Infrastructure Collaboration (NeIC) work together to enable very large-scale computational experimentation in natural language processing. This one-day workshop serves to kick off the collaboration, discuss community needs, and—through an open, popular-science session towards the end of the day—generate broader visibility.