Article | Proceedings of the 20th Nordic Conference of Computational Linguistics, NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania | Towards the Classification of the Finnish Internet Parsebank: Detecting Translations and Informality
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Title:
Towards the Classification of the Finnish Internet Parsebank: Detecting Translations and Informality
Author:
Veronika Laippala: Turku Institute for Advanced Studies / School of Languages and Translation Studies, University of Turku, Finland Jenna Kanerv: Department of Information Technology, University of Turku, Finland Anna Missilä: School of Languages and Translation Studies, University of Turku, Finland Sampo Pyysalo: Department of Information Technology, University of Turku, Finland Tapio Salakoski: Department of Information Technology, University of Turku, Finland Filip Ginter: Department of Information Technology, University of Turku, Finland
Download:
Full text (pdf)
Year:
2015
Conference:
Proceedings of the 20th Nordic Conference of Computational Linguistics, NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania
Issue:
109
Article no.:
015
Pages:
107-116
No. of pages:
10
Publication type:
Abstract and Fulltext
Published:
2015-05-06
ISBN:
978-91-7519-098-3
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 presents the first results on detecting informality, machine and human translations in the Finnish Internet Parsebank, a project aiming at a large-scale, web-based corpus with full morphological and syntactic analyses. The paper aims at classifying the Parsebank according to these criteria using syntactic n-grams, as well as studying the linguistic characteristics of the classes. The results are practically applicable, with an AUC range of 85–85% for the human, ~ 98% for the machine translated texts and 73% for the informal texts. While word-based classification performs well for the in-domain experiments, delexicalized methods with with morpho-syntactic features prove to be more tolerant to variation caused by genre or source language. In addition, the results show that the features used in the classification provide interesting pointers for further, more detailed studies on the linguistic characteristics of these texts.

Proceedings of the 20th Nordic Conference of Computational Linguistics, NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania

Author:
Veronika Laippala, Jenna Kanerv, Anna Missilä, Sampo Pyysalo, Tapio Salakoski, Filip Ginter
Title:
Towards the Classification of the Finnish Internet Parsebank: Detecting Translations and Informality
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Proceedings of the 20th Nordic Conference of Computational Linguistics, NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania

Author:
Veronika Laippala, Jenna Kanerv, Anna Missilä, Sampo Pyysalo, Tapio Salakoski, Filip Ginter
Title:
Towards the Classification of the Finnish Internet Parsebank: Detecting Translations and Informality
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