Corpus REDEWIEDERGABE
Annelen Brunner, Stefan Engelberg, Fotis Jannidis, Ngoc Duyen Tanja Tu, Lukas Weimer
Correct Metadata for
Abstract
This article presents corpus REDEWIEDERGABE, a German-language historical corpus with detailed annotations for speech, thought and writing representation (ST&WR). With approximately 490,000 tokens, it is the largest resource of its kind. It can be used to answer literary and linguistic research questions and serve as training material for machine learning. This paper describes the composition of the corpus and the annotation structure, discusses some methodological decisions and gives basic statistics about the forms of ST&WR found in this corpus.- Anthology ID:
- 2020.lrec-1.100
- Volume:
- Proceedings of the Twelfth Language Resources and Evaluation Conference
- Month:
- May
- Year:
- 2020
- Address:
- Marseille, France
- Editors:
- Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 803–812
- Language:
- English
- URL:
- https://aclanthology.org/2020.lrec-1.100/
- DOI:
- Bibkey:
- Cite (ACL):
- Annelen Brunner, Stefan Engelberg, Fotis Jannidis, Ngoc Duyen Tanja Tu, and Lukas Weimer. 2020. Corpus REDEWIEDERGABE. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 803–812, Marseille, France. European Language Resources Association.
- Cite (Informal):
- Corpus REDEWIEDERGABE (Brunner et al., LREC 2020)
- Copy Citation:
- PDF:
- https://aclanthology.org/2020.lrec-1.100.pdf
Export citation
@inproceedings{brunner-etal-2020-corpus,
title = "Corpus {REDEWIEDERGABE}",
author = "Brunner, Annelen and
Engelberg, Stefan and
Jannidis, Fotis and
Tu, Ngoc Duyen Tanja and
Weimer, Lukas",
editor = "Calzolari, Nicoletta and
B{\'e}chet, Fr{\'e}d{\'e}ric and
Blache, Philippe and
Choukri, Khalid and
Cieri, Christopher and
Declerck, Thierry and
Goggi, Sara and
Isahara, Hitoshi and
Maegaard, Bente and
Mariani, Joseph and
Mazo, H{\'e}l{\`e}ne and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.lrec-1.100/",
pages = "803--812",
language = "eng",
ISBN = "979-10-95546-34-4",
abstract = "This article presents corpus REDEWIEDERGABE, a German-language historical corpus with detailed annotations for speech, thought and writing representation (ST{\&}WR). With approximately 490,000 tokens, it is the largest resource of its kind. It can be used to answer literary and linguistic research questions and serve as training material for machine learning. This paper describes the composition of the corpus and the annotation structure, discusses some methodological decisions and gives basic statistics about the forms of ST{\&}WR found in this corpus."
}
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%0 Conference Proceedings %T Corpus REDEWIEDERGABE %A Brunner, Annelen %A Engelberg, Stefan %A Jannidis, Fotis %A Tu, Ngoc Duyen Tanja %A Weimer, Lukas %Y Calzolari, Nicoletta %Y Béchet, Frédéric %Y Blache, Philippe %Y Choukri, Khalid %Y Cieri, Christopher %Y Declerck, Thierry %Y Goggi, Sara %Y Isahara, Hitoshi %Y Maegaard, Bente %Y Mariani, Joseph %Y Mazo, Hélène %Y Moreno, Asuncion %Y Odijk, Jan %Y Piperidis, Stelios %S Proceedings of the Twelfth Language Resources and Evaluation Conference %D 2020 %8 May %I European Language Resources Association %C Marseille, France %@ 979-10-95546-34-4 %G eng %F brunner-etal-2020-corpus %X This article presents corpus REDEWIEDERGABE, a German-language historical corpus with detailed annotations for speech, thought and writing representation (ST&WR). With approximately 490,000 tokens, it is the largest resource of its kind. It can be used to answer literary and linguistic research questions and serve as training material for machine learning. This paper describes the composition of the corpus and the annotation structure, discusses some methodological decisions and gives basic statistics about the forms of ST&WR found in this corpus. %U https://aclanthology.org/2020.lrec-1.100/ %P 803-812
Markdown (Informal)
[Corpus REDEWIEDERGABE](https://aclanthology.org/2020.lrec-1.100/) (Brunner et al., LREC 2020)
- Corpus REDEWIEDERGABE (Brunner et al., LREC 2020)
ACL
- Annelen Brunner, Stefan Engelberg, Fotis Jannidis, Ngoc Duyen Tanja Tu, and Lukas Weimer. 2020. Corpus REDEWIEDERGABE. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 803–812, Marseille, France. European Language Resources Association.