A parallel corpus extracted from the European Parliament web site by Philipp Koehn (University of Edinburgh). The main intended use is to aid statistical machine translation research. More information can be found at http://www.statmt.org/europarl/

Supported Tasks and Leaderboards

Tasks: Machine Translation, Cross Lingual Word Embeddings (CWLE) Alignment

Languages

21 languages, 211 bitexts
total number of files: 207,775
total number of tokens: 759.05M
total number of sentence fragments: 30.32M

Every pair of the following languages is available:

Dataset Structure

Data Instances

Here is an example from the en-fr pair:

{
  'translation': {
    'en': 'Resumption of the session',
    'fr': 'Reprise de la session'
  }
}

Data Fields

translation: a dictionary containing two strings paired with a key indicating the corresponding language.

Data Splits

train: only train split is provided. Authors did not provide a separation of examples in train, dev and test.

Dataset Creation

Curation Rationale

[Needs More Information]

Source Data

Initial Data Collection and Normalization

[Needs More Information]

Who are the source language producers?

[Needs More Information]

Annotations

Annotation process

[Needs More Information]

Who are the annotators?

[Needs More Information]

Personal and Sensitive Information

[Needs More Information]

Considerations for Using the Data

Social Impact of Dataset

[Needs More Information]

Discussion of Biases

[Needs More Information]

Other Known Limitations

[Needs More Information]

Additional Information

Dataset Curators

[Needs More Information]

Licensing Information

The data set comes with the same license as the original sources. Please, check the information about the source that is given on https://opus.nlpl.eu/Europarl/corpus/version/Europarl

The terms of use of the original source dataset are:

We are not aware of any copyright restrictions of the material. If you use this data in your research, please contact phi@jhu.edu.

Citation Information

Please cite the paper, if you use this corpus in your work:

@inproceedings{koehn-2005-europarl,
    title = "{E}uroparl: A Parallel Corpus for Statistical Machine Translation",
    author = "Koehn, Philipp",
    booktitle = "Proceedings of Machine Translation Summit X: Papers",
    month = sep # " 13-15",
    year = "2005",
    address = "Phuket, Thailand",
    url = "https://aclanthology.org/2005.mtsummit-papers.11",
    pages = "79--86",
}

Please cite the following article if you use any part of the corpus in your own work:

@inproceedings{tiedemann-2012-parallel,
    title = "Parallel Data, Tools and Interfaces in {OPUS}",
    author = {Tiedemann, J{\"o}rg},
    editor = "Calzolari, Nicoletta  and
      Choukri, Khalid  and
      Declerck, Thierry  and
      Do{\u{g}}an, Mehmet U{\u{g}}ur  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Moreno, Asuncion  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
    month = may,
    year = "2012",
    address = "Istanbul, Turkey",
    publisher = "European Language Resources Association (ELRA)",
    url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/463_Paper.pdf",
    pages = "2214--2218",
}

Contributions

Thanks to @lucadiliello for adding this dataset.

Downloads last month: -