Kristin Hagen


2022

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The Norwegian Dialect Corpus Treebank
Andre Kåsen | Kristin Hagen | Anders Nøklestad | Joel Priestly | Per Erik Solberg | Dag Trygve Truslew Haug
Proceedings of the Thirteenth Language Resources and Evaluation Conference

This paper presents the NDC Treebank of spoken Norwegian dialects in the Bokmål variety of Norwegian. It consists of dialect recordings made between 2006 and 2012 which have been digitised, segmented, transcribed and subsequently annotated with morphological and syntactic analysis. The nature of the spoken data gives rise to various challenges both in segmentation and annotation. We follow earlier efforts for Norwegian, in particular the LIA Treebank of spoken dialects transcribed in the Nynorsk variety of Norwegian, in the annotation principles to ensure interusability of the resources. We have developed a spoken language parser on the basis of the annotated material and report on its accuracy both on a test set across the dialects and by holding out single dialects.

2020

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Comparing Methods for Measuring Dialect Similarity in Norwegian
Janne Johannessen | Andre Kåsen | Kristin Hagen | Anders Nøklestad | Joel Priestley
Proceedings of the Twelfth Language Resources and Evaluation Conference

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. The visual output in the form of dialect maps is then compared with canonical maps found in the dialect literature. All of this enables us to say that one does not need fine-grained transcriptions of speech to replicate classical classification patterns.

2019

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Tagging a Norwegian Dialect Corpus
Andre Kåsen | Anders Nøklestad | Kristin Hagen | Joel Priestley
Proceedings of the 22nd Nordic Conference on Computational Linguistics

This paper describes an evaluation of five data-driven part-of-speech (PoS) taggers for spoken Norwegian. The taggers all rely on different machine learning mechanisms: decision trees, hidden Markov models (HMMs), conditional random fields (CRFs), long-short term memory networks (LSTMs), and convolutional neural networks (CNNs). We go into some of the challenges posed by the task of tagging spoken, as opposed to written, language, and in particular a wide range of dialects as is found in the recordings of the LIA (Language Infrastructure made Accessible) project. The results show that the taggers based on either conditional random fields or neural networks perform much better than the rest, with the LSTM tagger getting the highest score.

2018

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The LIA Treebank of Spoken Norwegian Dialects
Lilja Øvrelid | Andre Kåsen | Kristin Hagen | Anders Nøklestad | Per Erik Solberg | Janne Bondi Johannessen
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

2017

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A modernised version of the Glossa corpus search system
Anders Nøklestad | Kristin Hagen | Janne Bondi Johannessen | Michał Kosek | Joel Priestley
Proceedings of the 21st Nordic Conference on Computational Linguistics

2016

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Constructing a Norwegian Academic Wordlist
Janne M Johannessen | Arash Saidi | Kristin Hagen
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

We present the development of a Norwegian Academic Wordlist (AKA list) for the Norwegian Bokmäl variety. To identify specific academic vocabulary we developed a 100-million-word academic corpus based on the University of Oslo archive of digital publications. Other corpora were used for testing and developing general word lists. We tried two different methods, those of Carlund et al. (2012) and Gardner & Davies (2013), and compared them. The resulting list is presented on a web site, where the words can be inspected in different ways, and freely downloaded.

2014

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The Norwegian Dependency Treebank
Per Erik Solberg | Arne Skjærholt | Lilja Øvrelid | Kristin Hagen | Janne Bondi Johannessen
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

The Norwegian Dependency Treebank is a new syntactic treebank for Norwegian Bokmäl and Nynorsk with manual syntactic and morphological annotation, developed at the National Library of Norway in collaboration with the University of Oslo. It is the first publically available treebank for Norwegian. This paper presents the core principles behind the syntactic annotation and how these principles were employed in certain specific cases. We then present the selection of texts and distribution between genres, as well as the annotation process and an evaluation of the inter-annotator agreement. Finally, we present the first results of data-driven dependency parsing of Norwegian, contrasting four state-of-the-art dependency parsers trained on the treebank. The consistency and the parsability of this treebank is shown to be comparable to other large treebank initiatives.

2013

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Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013)
Stephan Oepen | Kristin Hagen | Janne Bondi Johannessen
Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013)

2012

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The Nordic Dialect Corpus
Janne Bondi Johannessen | Joel Priestley | Kristin Hagen | Anders Nøklestad | André Lynum
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

In this paper, we describe the Nordic Dialect Corpus, which has recently been completed. The corpus has a variety of features that combined makes it an advanced tool for language researchers. These features include: Linguistic contents (dialects from five closely related languages), annotation (tagging and two types of transcription), search interface (advanced possibilities for combining a large array of search criteria and results presentation in an intuitive and simple interface), many search variables (linguistics-based, informant-based, time-based), multimedia display (linking of sound and video to transcriptions), display of results in maps, display of informant details (number of words and other information on informants), advanced results handling (concordances, collocations, counts and statistics shown in a variety of graphical modes, plus further processing). Finally, and importantly, the corpus is freely available for research on the web. We give examples of both various kinds of searches, of displays of results and of results handling.

2010

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Enhancing Language Resources with Maps
Janne Bondi Johannessen | Kristin Hagen | Anders Nøklestad | Joel Priestley
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

We will look at how maps can be integrated in research resources, such as language databases and language corpora. By using maps, search results can be illustrated in a way that immediately gives the user information that words or numbers on their own would not give. We will illustrate with two different resources, into which we have now added a Google Maps application: The Nordic Dialect Corpus (Johannessen et al. 2009) and The Nordic Syntactic Judgments Database (Lindstad et al. 2009). We have integrated Google Maps into these applications. The database contains some hundred syntactic test sentences that have been evaluated by four speakers in more than hundred locations in Norway and Sweden. Searching for the evaluations of a particular sentence gives a list of several hundred judgments, which are difficult for a human researcher to assess. With the map option, isoglosses are immediately visible. We show in the paper that both with the maps depicting corpus hits and with the maps depicting database results, the map visualizations actually show clear geographical differences that would be very difficult to spot just by reading concordance lines or database tables.

2009

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The Nordic Dialect Corpus–an advanced research tool
Janne Bondi Johannessen | Joel James Priestley | Kristin Hagen | Tor Anders Åfarli | Øystein Alexander Vangsnes
Proceedings of the 17th Nordic Conference of Computational Linguistics (NODALIDA 2009)

2007

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An Advanced Speech Corpus for Norwegian
Janne Bondi Johannessen | Kristin Hagen | Joel James Priestley | Lars Nygaard
Proceedings of the 16th Nordic Conference of Computational Linguistics (NODALIDA 2007)

2006

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Improbable morphological forms in a computational lexicon
Kristin Hagen | Lars Nygaard
Proceedings of the 15th Nordic Conference of Computational Linguistics (NODALIDA 2005)

2002

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The Performance of a Grammar Checker with Deviant Language Input
Janne Bondi Johannessen | Kristin Hagen | Pia Lane
COLING 2002: The 17th International Conference on Computational Linguistics: Project Notes

2001

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Some problems related to the development of a grammar checker
Kristin Hagen | Janne Bondi Johannessen | Pia Lane
Proceedings of the 13th Nordic Conference of Computational Linguistics (NODALIDA 2001)

2000

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The shortcomings of a tagger
Kristin Hagen | Janne Bondi Johannessen | Anders Nøklestad
Proceedings of the 12th Nordic Conference of Computational Linguistics (NODALIDA 1999)

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A Web-based Advanced and User Friendly System: The Oslo Corpus of Tagged Norwegian Texts
Janne Bondi Johannessen | Anders Nøklestad | Kristin Hagen
Proceedings of the Second International Conference on Language Resources and Evaluation (LREC’00)