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Kimmo Kettunen
Kimmo Kettunen
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Tytuł
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Can type-token ratio be used to show morphological complexity of languages?
K Kettunen
Journal of Quantitative Linguistics 21 (3), 223-245, 2014
1292014
To stem or lemmatize a highly inflectional language in a probabilistic IR environment?
K Kettunen, T Kunttu, K Järvelin
Journal of Documentation 61 (4), 476-496, 2005
532005
Complexity of European Union Languages: A comparative approach∗
M Sadeniemi, K Kettunen, T Lindh-Knuutila, T Honkela
Journal of Quantitative Linguistics 15 (2), 185-211, 2008
452008
Functional classification of records and organisational structure
P Henttonen, K Kettunen
Records Management Journal 21 (2), 86-103, 2011
422011
Old content and modern tools-searching named entities in a Finnish OCRed historical newspaper collection 1771-1910
K Kettunen, E Mäkelä, T Ruokolainen, J Kuokkala, L Löfberg
arXiv preprint arXiv:1611.02839, 2016
412016
Measuring lexical quality of a historical finnish newspaper collection―Analysis of Garbled OCR data with basic language technology tools and means
K Kettunen, T Pääkkönen
Proceedings of the Tenth International Conference on Language Resources and …, 2016
412016
Exporting Finnish digitized historical newspaper contents for offline use
T Pääkkönen, J Kervinen, A Nivala, K Kettunen, E Mäkelä
D-Lib Magazine 22 (7/8), 1-9, 2016
402016
Information retrieval from historical newspaper collections in highly inflectional languages: A query expansion approach
A Järvelin, H Keskustalo, E Sormunen, M Saastamoinen, K Kettunen
Journal of the Association for Information Science and Technology 67 (12 …, 2016
352016
Lifestyle counseling in type 2 diabetes prevention: A case study of a nurse's communication activity to produce change talk
T Kettunen, M Poskiparta, P Kiuru, K Kasila
Walter de Gruyter 3 (1), 3-14, 2006
30*2006
Improving optical character recognition of finnish historical newspapers with a combination of Fraktur & Antiqua models and image preprocessing
M Koistinen, K Kettunen, T Pääkkönen
Proceedings of the 21st Nordic Conference on Computational Linguistics, 277-283, 2017
292017
Analyzing and improving the quality of a historical news collection using language technology and statistical machine learning methods
K Kettunen, T Honkela, K Lindén, P Kauppinen, T Pääkkönen, J Kervinen
IFLA World Library and Information Congress Proceedings: 80th IFLA General …, 2014
292014
Analysis of EU languages through text compression
K Kettunen, M Sadeniemi, T Lindh-Knuutila, T Honkela
International Conference on Natural Language Processing (in Finland), 99-109, 2006
282006
Is a morphologically complex language really that complex in full-text retrieval?
K Kettunen, E Airio
International Conference on Natural Language Processing (in Finland), 411-422, 2006
282006
Restricted inflectional form generation in management of morphological keyword variation
K Kettunen, E Airio, K Järvelin
Information Retrieval 10, 415-444, 2007
272007
How to improve optical character recognition of historical Finnish newspapers using open source Tesseract OCR engine
M Koistinen, K Kettunen, J Kervinen
Proc. of LTC, 279-283, 2017
232017
Names, right or wrong: Named entities in an OCRed historical Finnish newspaper collection
K Kettunen, T Ruokolainen
Proceedings of the 2nd International Conference on Digital Access to Textual …, 2017
212017
Keep, change or delete? setting up a low resource ocr post-correction framework for a digitized old finnish newspaper collection
K Kettunen
Digital Libraries on the Move: 11th Italian Research Conference on Digital …, 2016
192016
Open Source Tesseract in Re-OCR of Finnish Fraktur from 19th and Early 20th Century Newspapers and Journals-Collected Notes on Quality Improvement.
K Kettunen, M Koistinen
DHN, 270-282, 2019
182019
Reductive and generative approaches to management of morphological variation of keywords in monolingual information retrieval: an overview
K Kettunen
Journal of Documentation 65 (2), 267-290, 2009
182009
Missing in action? Content of records management metadata in real life
K Kettunen, P Henttonen
Library & information science research 32 (1), 43-52, 2010
162010
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