HunPoS, a freely available open source part-of-speech tagger—a reimplementa-tion of one of the best performing taggers, TnT—is applied to Swedish and evaluated when the tagger is trained on various sizes of training data. The tagger’s accuracy is compared to other data-driven taggers for Swedish. The results show that the tagging performance of HunPoS is as accurate as TnT and can be used efficiently to tag run-ning text.
State-of-the-art statistical part-of-speech taggers mainly use information on tag bi- or trigrams, d...
The Talko corpus of Swedish spoken in Finland is a new research tool consisting of audio files li...
Part of Speech (POS) tagging is an essential part of text processing applications. A POS tagger assi...
Proceedings of the 17th Nordic Conference of Computational Linguistics NODALIDA 2009. Editors: Kri...
This work presents Stagger, a new open-source part of speech tagger for Swedish based on the Average...
This work presents Stagger, a new open-source part of speech tagger for Swedish based on the Average...
Hunpos is an open source reimplementation of TnT, the well known part-of-speech tagger by Thorsten B...
In this paper a data-driven method for Part-of-Speech tagging not using any n-grams of tags is prese...
The field of Part of Speech (POS) tagging has made slow but steady progress during the last decade, ...
Thesis (M.A.)--North-West University, Potchefstroom Campus, 2005.Any community that wants to be part...
This paper reports on two experiments with a probabilistic part-of-speech tagger, trained on a tagge...
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-...
This paper presents the statistical part-of-speech tagger HunPoS trained on a Per-sian corpus. The r...
Despite many years of research on Swedish language technology, there is still no well-documented sta...
State-of-the-art statistical part-of-speech taggers mainly use information on tag bi- or trigrams, d...
The Talko corpus of Swedish spoken in Finland is a new research tool consisting of audio files li...
Part of Speech (POS) tagging is an essential part of text processing applications. A POS tagger assi...
Proceedings of the 17th Nordic Conference of Computational Linguistics NODALIDA 2009. Editors: Kri...
This work presents Stagger, a new open-source part of speech tagger for Swedish based on the Average...
This work presents Stagger, a new open-source part of speech tagger for Swedish based on the Average...
Hunpos is an open source reimplementation of TnT, the well known part-of-speech tagger by Thorsten B...
In this paper a data-driven method for Part-of-Speech tagging not using any n-grams of tags is prese...
The field of Part of Speech (POS) tagging has made slow but steady progress during the last decade, ...
Thesis (M.A.)--North-West University, Potchefstroom Campus, 2005.Any community that wants to be part...
This paper reports on two experiments with a probabilistic part-of-speech tagger, trained on a tagge...
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-...
This paper presents the statistical part-of-speech tagger HunPoS trained on a Per-sian corpus. The r...
Despite many years of research on Swedish language technology, there is still no well-documented sta...
State-of-the-art statistical part-of-speech taggers mainly use information on tag bi- or trigrams, d...
The Talko corpus of Swedish spoken in Finland is a new research tool consisting of audio files li...
Part of Speech (POS) tagging is an essential part of text processing applications. A POS tagger assi...