Article | Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017, Gothenburg, Sweden | Creating register sub-corpora for the Finnish Internet Parsebank
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Title:
Creating register sub-corpora for the Finnish Internet Parsebank
Author:
Veronika Laippala: Turku Institute for Advanced Studies, University of Turku, Finland / School of Languages and Translation Studies, University of Turku, Finland / Turku NLP Group, University of Turku, Finland Juhani Luotolahti: Turku NLP Group, University of Turku, Finland Aki-Juhan Kyröläinen: School of Languages and Translation Studies, University of Turku, Finland / Turku NLP Group, University of Turku, Finland Tapio Salakoski: Turku NLP Group, University of Turku, Finland Filip Ginter: Turku NLP Group, University of Turku, Finland
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Full text (pdf)
Year:
2017
Conference:
Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017, Gothenburg, Sweden
Issue:
131
Article no.:
018
Pages:
152-161
No. of pages:
10
Publication type:
Abstract and Fulltext
Published:
2017-05-08
ISBN:
978-91-7685-601-7
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Series:
NEALT Proceedings Series
Publisher:
Linköping University Electronic Press, Linköpings universitet


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This paper develops register sub-corpora for the Web-crawled Finnish Internet Parsebank. Currently, all the documents belonging to different registers, such as news and user manuals, have an equal status in this corpus. Detecting the text register would be useful for both NLP and linguistics (Giesbrecht and Evert, 2009) (Webber, 2009) (Sinclair, 1996) (Egbert et al., 2015). We assemble the subcorpora by first naively deducing four register classes from the Parsebank document URLs and then developing a classifier based on these, to detect registers also for the rest of the documents. The results show that the naive method of deducing the register is efficient and that the classification can be done sufficiently reliably. The analysis of the prediction errors however indicates that texts sharing similar communicative purposes but belonging to different registers, such as news and blogs informing the reader, share similar linguistic characteristics. This attests of the well-known difficulty to define the notion of registers for practical uses. Finally, as a significant improvement to its usability, we release two sets of sub-corpus collections for the Parsebank. The A collection consists of two million documents classified to blogs, forum discussions, encyclopedia articles and news with a naive classification precision of >90%, and the B collection four million documents with a precision of >80%.

Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017, Gothenburg, Sweden

Author:
Veronika Laippala, Juhani Luotolahti, Aki-Juhan Kyröläinen, Tapio Salakoski, Filip Ginter
Title:
Creating register sub-corpora for the Finnish Internet Parsebank
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Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017, Gothenburg, Sweden

Author:
Veronika Laippala, Juhani Luotolahti, Aki-Juhan Kyröläinen, Tapio Salakoski, Filip Ginter
Title:
Creating register sub-corpora for the Finnish Internet Parsebank
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Last updated: 2017-02-21