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
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Biography
This text is not available in English, therefore the Swedish version is shown.
Research interests: digital humanities, NLP for historical text, historical cryptology, corpus linguistics, automatic spell checking and grammar checking.
Tools and resources developed:- Svensk diakronisk korpus (Swedish Diachronic Corpus): https://www2.lingfil.uu.se/person/pettersson/svediakorp/
- The HistCorp collection of historical corpora and tools: https://www2.lingfil.uu.se/person/pettersson/histcorp/
Publications
Recent publications
- Low-Resource Techniques for Analysing the Rhetorical Structure of Swedish Historical Petitions (2023)
- Identifying Cleartext in Historical Ciphers (2022)
- To the Most Gracious Highness, from Your Humble Servant (2022)
- Swedish Diachronic Corpus (2022)
- Czech Historical Named Entity Corpus v 1.0 (2020)
All publications
Articles
Books
Chapters
Conferences
- Low-Resource Techniques for Analysing the Rhetorical Structure of Swedish Historical Petitions (2023)
- Identifying Cleartext in Historical Ciphers (2022)
- To the Most Gracious Highness, from Your Humble Servant (2022)
- Czech Historical Named Entity Corpus v 1.0 (2020)
- Czech Historical Named Entity Corpus v 1.0 (2020)
- The DECODE Database: Collection of Historical Ciphers and Keys (2019)
- Matching Keys and Encrypted Manuscripts (2019)
- The HistCorp Collection of Historical Corpora and Resources (2018)
- An evaluation of neural machine translation models on historical spelling normalization (2018)
- Comparing Rule-based and SMT-based Spelling Normalisation for English Historical Texts (2017)
- Annotating Errors in Student Texts (2017)
- HistSearch (2016)
- Ranking Relevant Verb Phrases Extracted from Historical Text (2015)
- Improving Verb Phrase Extraction from Historical Text by Use of Verb Valency Frames (2015)
- Verb Phrase Extraction in a Historical Context (2014)
- A Multilingual Evaluation of Three Spelling Normalization Methods for Historical Text. (2014)
- A Multilingual Evaluation of Three Spelling Normalization Methods for Historical Text (2014)
- Normalization of historical Text Using Context-Sensitive Weighted Levenshtein Distance and Compound Splitting (2013)
- An SMT Approach to Automatic Annotation of Historical Texts (2013)
- Parsing the Past - Identification of Verb Constructions in Historical Text (2012)
- Rule-Based Normalisation of Historical Text – a Diachronic Study (2012)
- Automatic Verb Extraction from Historical Swedish Texts (2011)
- Swedish-Turkish Parallel Treebank (2008)
Reports
