Norwegian Nynorsk Trends: a daily-updated monitor corpus of news articles
The Norwegian Nynorsk Trends corpus is a Norwegian monitor corpus made up of news articles or other sources that are regularly updated from their RSS feeds (newsfeeds). The Norwegian Trends corpus is updated daily with new texts and grows by almost 100 thousand words every week. These regular updates enable you to use the diachronic analysis tool including the timeline show_chart function and study word usage changes.
Nynorsk part-of-speech tagset
The nnTenTen (Nynorsk) corpus was POS annotated by Oslo-Bergen Tagger using this tagset summary.
The tags are available in two corpus attributes:
- tag – a part of speech
- tag_attrs – a morphological detail
For instance, where the original tag is “pron ent pers hum nom 1” (pronoun singular personal human nominative 1):
- tag = “pron”
- tag_attrs = “ent pers hum nom 1”
How is the Norweigan Nynorsk Trends corpus updated?
New texts are downloaded every four hours. All texts downloaded until the previous day are added to the corpus twice a week. Duplicate and near-duplicate texts within the same month are removed, but they are kept in different months, e.g. if the same text appears in June twice, only one instance is kept. If the same text appears once in June and once in July, both are kept.
Search the Norwegian Nynorsk Trends corpus
Sketch Engine offers a range of tools to work with this Norwegian Trends corpus from news articles.
Where to find Trends
The texts in the corpus are timestamped which enables users to use Trends, the diachronic analysis tool for detecting neologisms and studying word usage changes
Tools to work with the Norwegian Nynorsk Trends corpus
A complete set of tools is available to work with this Norwegian Nynorsk Trends corpus from news to generate:
- word sketch – Norwegian collocations categorized by grammatical relations
- thesaurus – synonyms and similar words for every word
- keywords – terminology extraction of one-word units and multiword terms
- word lists – lists of Norwegian nouns, verbs, adjectives, etc. organized by frequency
- n-grams – frequency list of multi-word units
- concordance – examples in context
- trends – diachronic analysis automatically identifies neologisms and changes in use
- text type analysis – statistics of metadata in the corpus
Bibliography
Trends – diachronic analysis
Adam Kilgarriff, Ondřej Herman, Jan Bušta, Pavel Rychlý and Miloš Jakubíček. DIACRAN: a framework for diachronic analysis. In Corpus Linguistics (CL2015), United Kingdom, July 2015.
Ondřej Herman and Vojtěch Kovář. Methods for Detection of Word Usage over Time. In Seventh Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2013. Brno: Tribun EU, 2013, pp. 79–85. ISBN 978-80-263-0520-0.
TenTen corpora
Jakubíček, M., Kilgarriff, A., Kovář, V., Rychlý, P., & Suchomel, V. (2013, July). The TenTen corpus family. In 7th International Corpus Linguistics Conference CL (pp. 125-127).
Suchomel, V., & Pomikálek, J. (2012). Efficient web crawling for large text corpora. In Proceedings of the seventh Web as Corpus Workshop (WAC7) (pp. 39-43).
Genre annotation and topic classification
SUCHOMEL, Vít. Genre Annotation of Web Corpora: Scheme and Issues. In Kohei Arai, Supriya Kapoor, Rahul Bhatia. Proceedings of the Future Technologies Conference (FTC) 2020, Volume 1. Vancouver, Canada: Springer Nature Switzerland AG, 2021. s. 738-754. ISBN 978-3-030-63127-7. doi:10.1007/978-3-030-63128-4_55.
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