Zobrazit minimální záznam

 
dc.contributor.author Lapshinova-Koltunski, Ekaterina
dc.contributor.author Hardmeier, Christian
dc.contributor.author Krielke, Pauline
dc.date.accessioned 2018-05-08T12:07:36Z
dc.date.available 2018-05-08T12:07:36Z
dc.date.issued 2018-05-08
dc.identifier.uri http://hdl.handle.net/11372/LRT-2614
dc.description ParCorFull is a parallel corpus annotated with full coreference chains that has been created to address an important problem that machine translation and other multilingual natural language processing (NLP) technologies face -- translation of coreference across languages. Our corpus contains parallel texts for the language pair English-German, two major European languages. Despite being typologically very close, these languages still have systemic differences in the realisation of coreference, and thus pose problems for multilingual coreference resolution and machine translation. Our parallel corpus covers the genres of planned speech (public lectures) and newswire. It is richly annotated for coreference in both languages, including annotation of both nominal coreference and reference to antecedents expressed as clauses, sentences and verb phrases. This resource supports research in the areas of natural language processing, contrastive linguistics and translation studies on the mechanisms involved in coreference translation in order to develop a better understanding of the phenomenon.
dc.language.iso eng
dc.language.iso deu
dc.publisher Universität des Saarlandes
dc.publisher Uppsala University
dc.relation.isreferencedby http://www.lrec-conf.org/proceedings/lrec2018/summaries/941.html
dc.rights Creative Commons - Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.source.uri https://github.com/chardmeier/parcor-full
dc.subject parallel corpus
dc.subject annotated corpus
dc.subject coreference
dc.subject anaphora resolution
dc.title ParCorFull: A Parallel Corpus Annotated with Full Coreference
dc.type corpus
metashare.ResourceInfo#ContentInfo.mediaType text
dc.rights.label PUB
has.files yes
branding LRT + Open Submissions
contact.person Christian Hardmeier christian.hardmeier@lingfil.uu.se Uppsala University
sponsor European Association for Machine Translation (EAMT) 2017 EAMT Sponsorship of Activities Other
sponsor Swedish Research Council 2017-930 Neural Pronoun Models for Machine Translation nationalFunds
size.info 158919 tokens
files.size 2852575
files.count 4


 Soubory tohoto záznamu

 Stáhnout všechny soubory záznamu (2.72 MB)
Icon
Název
Guidelines.pdf
Velikost
247.65 KB
Formát
PDF
Popis
Annotation guidelines
MD5
e5e5f4620989037b523b6f0901211785
 Stáhnout soubor
Icon
Název
ParCorFull-1.0.tar.gz
Velikost
2.17 MB
Formát
application/x-gzip
Popis
Annotated corpus data
MD5
49cc8a0998b8ca9c235ce2435c7a9b5b
 Stáhnout soubor  Náhled
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    • ._Guidelines.pdf176 B
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ParCorFull -- a parallel corpus annotated for coreference
=========================================================

Release 1 (May 2018)
http://hdl.handle.net/11372/LRT-2614

Ekaterina Lapshinova-Koltunski, Christian Hardmeier and Pauline Krielke
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This is the first release of ParCorFull, an English-German parallel corpus
annotated for full coreference.

If you use this corpus in published work, please cite the following paper:

@InProceedings{Lapshinova-Koltunski:2018,
  author = {Ekaterina Lapshinova-Koltunski and Christian Hardmeier and Pauline Krielke},
  title = {{ParCorFull:} a Parallel Corpus Annotated with Full Coreference},
  booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
  pages = {423--428},
  year = {2018},
  month = {May},
  address = {Miyazaki, Japan},
  publisher = {European Language Resources Association (ELRA)}
}

http://www.lrec . . .
                                            
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Corpus description paper published at LREC 2018
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