Eva Pettersson
Researcher in Computational Linguistics at Department of Linguistics and Philology
- Telephone:
- +46 18 471 10 91
- E-mail:
- Eva.Pettersson@lingfil.uu.se
- Visiting address:
- Engelska parken
Thunbergsvägen 3H - Postal address:
- Box 635
751 26 UPPSALA
Download contact information for Eva Pettersson at Department of Linguistics and Philology
- ORCID:
- 0000-0002-1447-4501

Publications
Recent publications
SWENER-1800: A Corpus for Named Entity Recognition in 19th Century Swedish
Part of DHNB2024 Conference Proceedings, 2024
- DOI for SWENER-1800: A Corpus for Named Entity Recognition in 19th Century Swedish
- Download full text (pdf) of SWENER-1800: A Corpus for Named Entity Recognition in 19th Century Swedish
Low-Resource Techniques for Analysing the Rhetorical Structure of Swedish Historical Petitions
Part of Proceedings of the Second Workshop on Resources and Representations for Under-Resourced Languages and Domains (RESOURCEFUL-2023), p. 132-139, 2023
Identifying Cleartext in Historical Ciphers
Part of Proceedings of the Workshop on Language Technologies for Historical and Ancient Languages. LT4HALA 2022., 2022
Part of Proceedings of the 6th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, p. 53-64, 2022
Part of CLARIN, p. 561-585, Walter de Gruyter, 2022
All publications
Articles in journal
Chapters in book
Part of CLARIN, p. 561-585, Walter de Gruyter, 2022
Supporting Research Environment for Less Explored Languages: A Case Study of Swedish and Turkish
Part of Resourceful Language Technology, p. 96-110, Uppsala universitet, 2008
Conference papers
SWENER-1800: A Corpus for Named Entity Recognition in 19th Century Swedish
Part of DHNB2024 Conference Proceedings, 2024
- DOI for SWENER-1800: A Corpus for Named Entity Recognition in 19th Century Swedish
- Download full text (pdf) of SWENER-1800: A Corpus for Named Entity Recognition in 19th Century Swedish
Low-Resource Techniques for Analysing the Rhetorical Structure of Swedish Historical Petitions
Part of Proceedings of the Second Workshop on Resources and Representations for Under-Resourced Languages and Domains (RESOURCEFUL-2023), p. 132-139, 2023
Identifying Cleartext in Historical Ciphers
Part of Proceedings of the Workshop on Language Technologies for Historical and Ancient Languages. LT4HALA 2022., 2022
Part of Proceedings of the 6th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, p. 53-64, 2022
Czech Historical Named Entity Corpus v 1.0
Part of Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC 2020), p. 4458-4465, 2020
Czech Historical Named Entity Corpus v 1.0
Part of 12th Conference on Language Resources and Evaluation (LREC 2020), p. 4458-4465, 2020
The DECODE Database: Collection of Historical Ciphers and Keys
Part of Proceedings of the 2nd International Conference on Historical Cryptology, p. 69-78, 2019
Matching Keys and Encrypted Manuscripts
Part of Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa '19), 2019
The HistCorp Collection of Historical Corpora and Resources
Part of DHN 2018, p. 306-320, 2018
An evaluation of neural machine translation models on historical spelling normalization
Part of Proceedings of the 27th International Conference on Computational Linguistics, p. 1320-1331, 2018
Annotating Errors in Student Texts: First Experiences and Experiments
Part of Proceedings of Joint 6th NLP4CALL and 2nd NLP4LA Nodalida workshop, p. 47-60, 2017
Comparing Rule-based and SMT-based Spelling Normalisation for English Historical Texts
Part of Proceedings of the NoDaLiDa 2017 Workshop on Processing Historical Language, 2017
Part of Proceedings of the 3rd HistoInformaticsWorkshop, Krakow, Poland, 11 July 2016, 2016
Improving Verb Phrase Extraction from Historical Text by Use of Verb Valency Frames
Part of Proceedings of the 20th Nordic Conference of Computational Linguistics, p. 153-161, 2015
Ranking Relevant Verb Phrases Extracted from Historical Text
Part of Proceedings of the 9th SIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities, 2015
Verb Phrase Extraction in a Historical Context
2014
A Multilingual Evaluation of Three Spelling Normalization Methods for Historical Text
Part of Proceedings of the 8th Workshop on Language Technologyfor Cultural Heritage, Social Sciences, and Humanities(LaTeCH), p. 32-41, 2014
A Multilingual Evaluation of Three Spelling Normalization Methods for Historical Text.
Part of Workshop on Language Technology for Cultural Heritage, Social Sciences and Humanities, LaTeCH 2014, 2014
Part of Proceedings of the 19th Nordic Conference on Computational Linguistics, 2013
An SMT Approach to Automatic Annotation of Historical Texts
Part of Workshop on Computational Historical Linguistics, Nodalida 2013., 2013
Parsing the Past - Identification of Verb Constructions in Historical Text
Part of Language Technology for Cultural Heritage, Social Sciences, and Humanities, 2012
Rule-Based Normalisation of Historical Text – a Diachronic Study
Part of Empirical Methods in Natural Language Processing, p. 333-341, 2012
Automatic Verb Extraction from Historical Swedish Texts
Part of Proceedings of the 5th ACL-HLT Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities, p. 87-95, 2011
Swedish-Turkish Parallel Treebank
Part of Proceedings of the Sixth International Language Resources and Evaluation (LREC'08), 2008