Europarl

A parallel corpus extracted from the European Parliament web site by Philipp Koehn (University of Edinburgh). Appr. 40 million words per language. The main intended use is to aid statistical machine translation research.

More information can be found at http://www.statmt.org/europarl/. The main difference in this release vs. the first release in 2002 and second release in 2003 is that it is larger and it comes with improved processing tools that allow the creation of parallel corpora between any two of the 11 languages. Some data is now tagged with the original language the text was spoken in.

11 languages, 55 bitexts
total number of files: 7,034
total number of tokens: 404.01M
total number of sentence fragments: 15.81M

Please cite the following article if you use any part of the corpus in your own work:
J. Tiedemann, 2012, Parallel Data, Tools and Interfaces in OPUS. In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)

Download

Below you can download data files for all language pairs in different formats and with different kind of annotation (if available). You can click on the various links as explained below. In addition to the files shown on this webpage, OPUS also provides pre-compiled word alignments and phrase tables, bilingual dictionaries, frequency counts, and these files can be found through the resources search form on the top-level website of OPUS.

Bottom-left triangle: download files

ces = sentence alignments in XCES format
leftmost column language IDs = tokenized corpus files in XML
TMX and plain text files (Moses): see "Statistics" below
lower row language IDs = parsed corpus files (if they exist)

Upper-right triangle: sample files

view = bilingual XML file samples
upper row language IDs = monolingual XML file samples
rightmost column language IDs = untokenized corpus files

	da	de	el	en	es	fi	fr	it	nl	pt	sv
da		view	view	view	view	view	view	view	view	view	view	da
de	ces		view	view	view	view	view	view	view	view	view	de
el	ces	ces		view	view	view	view	view	view	view	view	el
en	ces	ces	ces		view	view	view	view	view	view	view	en
es	ces	ces	ces	ces		view	view	view	view	view	view	es
fi	ces	ces	ces	ces	ces		view	view	view	view	view	fi
fr	ces	ces	ces	ces	ces	ces		view	view	view	view	fr
it	ces	ces	ces	ces	ces	ces	ces		view	view	view	it
nl	ces	ces	ces	ces	ces	ces	ces	ces		view	view	nl
pt	ces	ces	ces	ces	ces	ces	ces	ces	ces		view	pt
sv	ces	ces	ces	ces	ces	ces	ces	ces	ces	ces		sv
	da	de	el	en	es	fi	fr	it	nl	pt	sv

Statistics and TMX/Moses Downloads

Number of files, tokens, and sentences per language (including non-parallel ones if they exist)
Number of sentence alignment units per language pair

Upper-right triangle: download translation memory files (TMX)
Bottom-left triangle: download plain text files (MOSES/GIZA++)
Language ID's, first row: monolingual plain text files (tokenized)
Language ID's, first column: monolingual plain text files (untokenized)


language	files	tokens	sentences	da	de	el	en	es	fi	fr	it	nl	pt	sv
da	659	37.5M	1.6M		1.3M	0.7M	1.3M	1.3M	1.2M	1.3M	1.2M	1.3M	1.2M	1.1M
de	659	37.5M	1.5M	1.3M		0.6M	1.3M	1.3M	1.2M	1.3M	1.2M	1.3M	1.2M	1.1M
el	537	26.3M	1.0M	0.7M	0.7M		0.6M	0.7M	0.6M	0.7M	0.6M	0.7M	0.6M	0.6M
en	658	39.4M	1.5M	1.3M	1.3M	0.7M		1.3M	1.2M	1.3M	1.2M	1.3M	1.3M	1.1M
es	660	40.5M	1.5M	1.3M	1.3M	0.7M	1.3M		1.2M	1.3M	1.2M	1.3M	1.2M	1.1M
fi	611	26.4M	1.4M	1.2M	1.2M	0.6M	1.3M	1.2M		1.2M	1.2M	1.2M	1.2M	1.1M
fr	662	43.7M	1.5M	1.3M	1.3M	0.7M	1.3M	1.3M	1.3M		1.2M	1.3M	1.3M	1.1M
it	658	39.0M	1.4M	1.2M	1.2M	0.6M	1.2M	1.2M	1.2M	1.3M		1.2M	1.2M	1.1M
nl	659	39.5M	1.6M	1.3M	1.3M	0.7M	1.3M	1.3M	1.2M	1.3M	1.2M		1.3M	1.1M
pt	660	40.9M	1.4M	1.3M	1.3M	0.7M	1.3M	1.3M	1.2M	1.3M	1.2M	1.3M		1.1M
sv	611	33.4M	1.5M	1.2M	1.2M	0.7M	1.2M	1.1M	1.2M	1.2M	1.1M	1.2M	1.1M

Note that TMX files only contain unique translation units and, therefore, the number of aligned units is smaller than for the distributions in Moses and XML format. Moses downloads include all non-empty alignment units including duplicates. Token counts for each language also include duplicate sentences and documents.

Disclaimer

We do not own any of the text from which the data has been extracted.
We only offer files that we believe we are free to redistribute. If any doubt occurs about the legality of any of our file downloads we will take them off right away after contacting us.

Notice and take down policy

Notice: Should you consider that our data contains material that is owned by you and should therefore not be reproduced here, please:

Clearly identify yourself, with detailed contact data such as an address, telephone number or email address at which you can be contacted.
Clearly identify the copyrighted work claimed to be infringed.
Clearly identify the material that is claimed to be infringing and information reasonably sufficient to allow us to locate the material.
And contact the OPUS project at the following email address: opus-project at helsinki.fi.

Take down: We will comply to legitimate requests by removing the affected sources from the next release of the corpus.