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- Verantwortlich:
- Gebendorfer, Christoph; Elnaggar, Ahmed
- Autorinnen / Autoren:
- Gebendorfer, Christoph; Elnaggar, Ahmed
- Institutionszugehörigkeit:
- TUM
- Herausgeber:
- TUM
- Titel:
- Legal Europarl - Translation Corpus
- Identifikator:
- doi:10.14459/2018md1446650
- Enddatum der Datenerzeugung:
- 30.01.2018
- Fachgebiet:
- DAT Datenverarbeitung, Informatik
- zusätzliche Fachgebiete:
- Legal Domain
- Quellen der Daten:
- Textdokumente / text documents
- Datentyp:
- Texte / texts
- Methode der Datenerhebung:
- Derivation of the Europarl-v7 corpus
- Beschreibung:
- The Legal Europarl is a derivation of the original Europarl-v7 corpus which contains proceedings of the european parliament. This derivation contains a subset of the original corpus and is available in aligned form (Moses/Giza++). It contains parallel text in 21 language pairs based on 7 languages (cs, de, en, es, fr, it, sv) which can be directly used to train data-intense machine translation systems. Additionally, a separate test set is enclosed for evaluation purposes. Size: ~32 million se... »
- Links:
Chair:
https://wwwmatthes.in.tum.de/pages/t5ma0jrv6q7k/sebis-Public-Website-Home
Used in order to train a deep learning translation model in the legal domain:
https://wwwmatthes.in.tum.de/pages/s4orjknmqls4/Master-s-Thesis-Christoph-Gebendorfer
Original Corpus:
- Schlagworte:
- legal-europarl; parallel texts of the Proceedings of the European Parliament; Europarl-v7 documents
- Technische Hinweise:
- Moses/Giza++ Format
View and download (3.5 GB, 23 files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1446650):
rsync rsync://m1446650@dataserv.ub.tum.de/m1446650/ - Sprache:
- de
- Rechte:
- by, http://creativecommons.org/licenses/by/4.0
- Andere Rechte:
- Rights implied by original corpus (Europarl-v7), free use
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