Comparing Methods for Measuring Dialect Similarity in Norwegian

Janne Johannessen; Andre Kåsen; Kristin Hagen; Anders Nøklestad; Joel Priestley

Comparing Methods for Measuring Dialect Similarity in Norwegian

Janne Johannessen, Andre Kåsen, Kristin Hagen, Anders Nøklestad, Joel Priestley

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Abstract

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.

Anthology ID:: 2020.lrec-1.658
Volume:: Proceedings of the Twelfth Language Resources and Evaluation Conference
Month:: May
Year:: 2020
Address:: Marseille, France
Editors:: Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:: LREC
SIG:
Publisher:: European Language Resources Association
Note:
Pages:: 5343–5350
Language:: English
URL:: https://aclanthology.org/2020.lrec-1.658/
DOI:
Bibkey:
Cite (ACL):: Janne Johannessen, Andre Kåsen, Kristin Hagen, Anders Nøklestad, and Joel Priestley. 2020. Comparing Methods for Measuring Dialect Similarity in Norwegian. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 5343–5350, Marseille, France. European Language Resources Association.
Cite (Informal):: Comparing Methods for Measuring Dialect Similarity in Norwegian (Johannessen et al., LREC 2020)
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PDF:: https://aclanthology.org/2020.lrec-1.658.pdf

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@inproceedings{johannessen-etal-2020-comparing,
    title = "Comparing Methods for Measuring Dialect Similarity in {N}orwegian",
    author = "Johannessen, Janne  and
      K{\r{a}}sen, Andre  and
      Hagen, Kristin  and
      N{\o}klestad, Anders  and
      Priestley, Joel",
    editor = "Calzolari, Nicoletta  and
      B{\'e}chet, Fr{\'e}d{\'e}ric  and
      Blache, Philippe  and
      Choukri, Khalid  and
      Cieri, Christopher  and
      Declerck, Thierry  and
      Goggi, Sara  and
      Isahara, Hitoshi  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Mazo, H{\'e}l{\`e}ne  and
      Moreno, Asuncion  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://aclanthology.org/2020.lrec-1.658/",
    pages = "5343--5350",
    language = "eng",
    ISBN = "979-10-95546-34-4",
    abstract = "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."
}

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%0 Conference Proceedings
%T Comparing Methods for Measuring Dialect Similarity in Norwegian
%A Johannessen, Janne
%A Kåsen, Andre
%A Hagen, Kristin
%A Nøklestad, Anders
%A Priestley, Joel
%Y Calzolari, Nicoletta
%Y Béchet, Frédéric
%Y Blache, Philippe
%Y Choukri, Khalid
%Y Cieri, Christopher
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Isahara, Hitoshi
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Hélène
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Twelfth Language Resources and Evaluation Conference
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-34-4
%G eng
%F johannessen-etal-2020-comparing
%X 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.
%U https://aclanthology.org/2020.lrec-1.658/
%P 5343-5350

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Markdown (Informal)

[Comparing Methods for Measuring Dialect Similarity in Norwegian](https://aclanthology.org/2020.lrec-1.658/) (Johannessen et al., LREC 2020)

Comparing Methods for Measuring Dialect Similarity in Norwegian (Johannessen et al., LREC 2020)

ACL

Janne Johannessen, Andre Kåsen, Kristin Hagen, Anders Nøklestad, and Joel Priestley. 2020. Comparing Methods for Measuring Dialect Similarity in Norwegian. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 5343–5350, Marseille, France. European Language Resources Association.