Add to ORKGWe use Google’s open source neural network framework, SyntaxNet, to train a fully automatic part-of-speech language tagger for Norwegian Bokmål and Nynorsk. Using SyntaxNet, we are able to get comparable results with other tagger when tagging Bokmål and Nynorsk with partof-speech. Both taggers are available and released as open source
Neural networks have been shown to successfully solve many natural language processing tasks previou...
We present a simple method for learning part-of-speech taggers for low-resource languages using dict...
We present a simple method for learning part-of-speech taggers for low-resource languages using dict...
We use Google’s open source neural network framework, SyntaxNet, to train a fully automatic part-of-...
We use Google’s open source neural network framework, SyntaxNet, to train a fully automatic part-of-...
In this thesis we look at how we can develop automated analysis tools for Norwegian text. We look at...
Proceedings of the 16th Nordic Conference of Computational Linguistics NODALIDA-2007. Editors: Jo...
This paper describes an evaluation of five data-driven part-of-speech (PoS) taggers for spoken Norwe...
We describe the development of a two-way shallow-transfer machine translation system between Norwegi...
This thesis presents a systematic, empirical investigation of how an existing PoS tag set can be mod...
Proceedings of the 17th Nordic Conference of Computational Linguistics NODALIDA 2009. Editors: Kri...
This paper investigates interactions in parser performance for the two official standards for writte...
In some languages, Named Entity Recognition (NER) is severely hindered by complex linguistic structu...
In some languages, Named Entity Recognition (NER) is severely hindered by complex linguistic structu...
Neural network approaches to Part-of-Speech tagging, like other supervised neural network tasks, ben...
Neural networks have been shown to successfully solve many natural language processing tasks previou...
We present a simple method for learning part-of-speech taggers for low-resource languages using dict...
We present a simple method for learning part-of-speech taggers for low-resource languages using dict...
We use Google’s open source neural network framework, SyntaxNet, to train a fully automatic part-of-...
We use Google’s open source neural network framework, SyntaxNet, to train a fully automatic part-of-...
In this thesis we look at how we can develop automated analysis tools for Norwegian text. We look at...
Proceedings of the 16th Nordic Conference of Computational Linguistics NODALIDA-2007. Editors: Jo...
This paper describes an evaluation of five data-driven part-of-speech (PoS) taggers for spoken Norwe...
We describe the development of a two-way shallow-transfer machine translation system between Norwegi...
This thesis presents a systematic, empirical investigation of how an existing PoS tag set can be mod...
Proceedings of the 17th Nordic Conference of Computational Linguistics NODALIDA 2009. Editors: Kri...
This paper investigates interactions in parser performance for the two official standards for writte...
In some languages, Named Entity Recognition (NER) is severely hindered by complex linguistic structu...
In some languages, Named Entity Recognition (NER) is severely hindered by complex linguistic structu...
Neural network approaches to Part-of-Speech tagging, like other supervised neural network tasks, ben...
Neural networks have been shown to successfully solve many natural language processing tasks previou...
We present a simple method for learning part-of-speech taggers for low-resource languages using dict...
We present a simple method for learning part-of-speech taggers for low-resource languages using dict...