Comparing Methods for Measuring Dialect Similarity in Norwegian

no code implementations • LREC 2020 • Janne Johannessen, Andre K{\aa}sen, Kristin Hagen, Anders N{\o}klestad, Joel Priestley

The present article presents four experiments with two different methods for measuring dialect similarity in Norwegian: the Levenshtein method and the neural long short term memory (LSTM) autoencoder network, a machine learning algorithm.

BIG-bench Machine Learning

The LIA Treebank of Spoken Norwegian Dialects

no code implementations • LREC 2018 • Lilja {\O}vrelid, Andre K{\aa}sen, Kristin Hagen, Anders N{\o}klestad, Per Erik Solberg, Janne Bondi Johannessen

Dependency Parsing Transliteration

A modernised version of the Glossa corpus search system

1 code implementation • WS 2017 • Anders N{\o}klestad, Kristin Hagen, Janne Bondi Johannessen, Micha{\l} Kosek, Joel Priestley

Exploring Features for Named Entity Recognition in Lithuanian Text Corpus

no code implementations • WS 2013 • Jurgita Kapo{\v{c}}i{\=u}t{\.e}-Dzikien{\.e}, Anders N{\o}klestad, Janne Bondi Johannessen, Algis Krupavi{\v{c}}ius

named-entity-recognition Named Entity Recognition +1

The Nordic Dialect Corpus

no code implementations • LREC 2012 • Janne Bondi Johannessen, Joel Priestley, Kristin Hagen, Anders N{\o}klestad, Andr{\'e} Lynum

In this paper, we describe the Nordic Dialect Corpus, which has recently been completed.