JRC-Acquis
JRC-Acquis is a collection of legislative text of the European Union and currently comprises selected texts written between the 1950s and now.
Source: https://ec.europa.eu/jrc/en/language-technologies/jrc-acquis
The version at OPUS is based on the paragraph-aligned corpus provided by JRC (aligned using hunalign) but adds also sentence boundary markup and sentence alignment for all sentence pairs. The format is also converted to be compatible with OPUS but contains the same information otherwise (content and metadata). For licensing issues please check cite the following article if you use any part of the corpus in your own work:
Jörg Tiedemann, 2012, Parallel Data, Tools and Interfaces in OPUS. In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)
Download
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
|
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 pairUpper-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 | bg
| cs
| da
| de
| el
| en
| es
| et
| fi
| fr
| hu
| it
| lt
| lv
| mt
| nl
| pl
| pt
| ro
| sk
| sl
| sv
|
bg
| 9,227 | 30.3M | 2.7M | | 28.7k
| 28.9k
| 28.9k
| 26.9k
| 28.6k
| 29.1k
| 27.8k
| 27.8k
| 30.0k
| 29.4k
| 30.1k
| 29.8k
| 29.3k
| 0.4M
| 28.1k
| 29.8k
| 28.0k
| 0.3M
| 23.3k
| 28.9k
| 28.3k
|
cs
| 19,930 | 56.2M | 4.1M | 45.8k
| | 0.8M
| 0.8M
| 10.2k
| 0.8M
| 0.8M
| 0.8M
| 11.9k
| 0.8M
| 0.4M
| 0.9M
| 0.9M
| 0.9M
| 12.6k
| 0.8M
| 0.9M
| 0.8M
| 0.4M
| 25.1k
| 32.0k
| 0.8M
|
da
| 20,727 | 58.1M | 3.5M | 45.9k
| 1.3M
| | 1.1M
| 11.9k
| 0.5M
| 1.1M
| 1.0M
| 12.8k
| 1.1M
| 0.4M
| 1.1M
| 0.6M
| 1.0M
| 12.4k
| 1.1M
| 1.1M
| 1.1M
| 0.3M
| 21.2k
| 30.6k
| 1.0M
|
de
| 20,662 | 57.8M | 3.2M | 39.4k
| 1.2M
| 1.5M
| | 12.2k
| 0.5M
| 1.1M
| 1.0M
| 13.1k
| 1.1M
| 0.3M
| 1.1M
| 0.6M
| 1.1M
| 12.0k
| 1.1M
| 1.1M
| 1.1M
| 0.3M
| 21.5k
| 31.2k
| 1.0M
|
el
| 7,097 | 22.3M | 1.4M | 42.6k
| 15.0k
| 17.3k
| 15.3k
| | 11.9k
| 11.8k
| 10.2k
| 11.1k
| 12.1k
| 10.9k
| 12.5k
| 11.7k
| 11.4k
| 10.4k
| 12.1k
| 11.3k
| 11.5k
| 0.3M
| 11.7k
| 10.8k
| 10.9k
|
en
| 20,682 | 64.9M | 3.5M | 45.9k
| 1.3M
| 0.8M
| 0.7M
| 17.7k
| | 0.5M
| 0.5M
| 13.1k
| 0.5M
| 0.3M
| 0.5M
| 0.5M
| 0.5M
| 12.4k
| 0.5M
| 1.1M
| 1.0M
| 0.3M
| 21.7k
| 31.0k
| 0.5M
|
es
| 20,681 | 68.3M | 3.4M | 46.1k
| 1.3M
| 1.7M
| 1.5M
| 17.3k
| 0.8M
| | 1.0M
| 12.9k
| 1.1M
| 0.4M
| 1.1M
| 0.6M
| 1.0M
| 12.6k
| 1.1M
| 1.1M
| 1.1M
| 0.3M
| 22.5k
| 31.7k
| 1.0M
|
et
| 20,646 | 49.7M | 3.6M | 44.3k
| 1.3M
| 1.6M
| 1.5M
| 15.2k
| 0.8M
| 1.6M
| | 11.4k
| 1.0M
| 0.4M
| 1.0M
| 0.6M
| 1.1M
| 12.5k
| 1.0M
| 1.1M
| 1.0M
| 0.3M
| 22.4k
| 31.4k
| 1.0M
|
fi
| 7,011 | 15.1M | 1.2M | 44.5k
| 17.8k
| 19.2k
| 16.6k
| 16.4k
| 19.7k
| 19.2k
| 17.3k
| | 13.4k
| 12.7k
| 14.2k
| 12.3k
| 12.7k
| 11.9k
| 12.4k
| 12.5k
| 12.5k
| 0.3M
| 11.5k
| 11.4k
| 14.1k
|
fr
| 20,735 | 69.0M | 3.4M | 47.5k
| 1.3M
| 1.7M
| 1.5M
| 17.8k
| 0.8M
| 1.7M
| 1.6M
| 20.1k
| | 0.4M
| 1.1M
| 0.6M
| 1.0M
| 13.3k
| 1.1M
| 1.1M
| 1.1M
| 0.3M
| 22.2k
| 31.7k
| 1.0M
|
hu
| 8,824 | 23.8M | 1.6M | 40.5k
| 0.5M
| 0.5M
| 0.5M
| 13.5k
| 0.5M
| 0.5M
| 0.5M
| 16.0k
| 0.5M
| | 0.4M
| 0.4M
| 0.4M
| 14.1k
| 0.4M
| 0.4M
| 0.4M
| 0.3M
| 23.4k
| 32.3k
| 0.3M
|
it
| 20,579 | 64.4M | 3.6M | 47.5k
| 1.4M
| 1.6M
| 1.5M
| 18.3k
| 0.8M
| 1.6M
| 1.6M
| 21.4k
| 1.6M
| 0.5M
| | 0.6M
| 1.0M
| 12.6k
| 1.1M
| 1.1M
| 1.1M
| 0.3M
| 22.8k
| 31.6k
| 1.0M
|
lt
| 20,388 | 53.7M | 3.7M | 47.2k
| 1.3M
| 1.0M
| 0.9M
| 17.0k
| 0.8M
| 1.0M
| 1.0M
| 18.4k
| 1.0M
| 0.5M
| 1.0M
| | 1.1M
| 14.5k
| 0.6M
| 0.7M
| 0.6M
| 0.3M
| 23.7k
| 33.4k
| 0.6M
|
lv
| 20,231 | 54.3M | 3.5M | 46.5k
| 1.3M
| 1.6M
| 1.5M
| 16.5k
| 0.8M
| 1.6M
| 1.7M
| 18.7k
| 1.6M
| 0.5M
| 1.6M
| 1.6M
| | 14.0k
| 1.0M
| 1.1M
| 1.0M
| 0.3M
| 24.0k
| 33.1k
| 1.0M
|
mt
| 8,665 | 25.8M | 1.7M | 0.6M
| 18.4k
| 17.6k
| 14.5k
| 14.5k
| 17.9k
| 17.7k
| 18.2k
| 17.1k
| 18.9k
| 17.7k
| 17.9k
| 20.9k
| 20.4k
| | 11.8k
| 14.1k
| 11.8k
| 0.3M
| 12.3k
| 12.9k
| 11.5k
|
nl
| 20,704 | 63.8M | 3.6M | 44.8k
| 1.3M
| 1.7M
| 1.5M
| 17.8k
| 0.8M
| 1.7M
| 1.6M
| 18.7k
| 1.6M
| 0.5M
| 1.7M
| 1.0M
| 1.6M
| 16.8k
| | 1.1M
| 1.1M
| 0.3M
| 21.1k
| 30.9k
| 1.0M
|
pl
| 20,578 | 58.2M | 3.5M | 47.1k
| 1.3M
| 1.6M
| 1.5M
| 16.3k
| 1.6M
| 1.6M
| 1.6M
| 18.5k
| 1.6M
| 0.5M
| 1.6M
| 1.1M
| 1.6M
| 20.6k
| 1.6M
| | 1.1M
| 0.3M
| 24.1k
| 33.3k
| 1.0M
|
pt
| 20,608 | 65.4M | 3.4M | 43.9k
| 1.3M
| 1.6M
| 1.5M
| 16.7k
| 1.6M
| 1.7M
| 1.6M
| 18.4k
| 1.6M
| 0.5M
| 1.6M
| 1.0M
| 1.6M
| 16.5k
| 1.6M
| 1.6M
| | 0.3M
| 20.9k
| 30.5k
| 1.0M
|
ro
| 6,565 | 23.8M | 2.6M | 0.5M
| 0.5M
| 0.5M
| 0.4M
| 0.5M
| 0.5M
| 0.5M
| 0.5M
| 0.5M
| 0.4M
| 0.4M
| 0.5M
| 0.5M
| 0.5M
| 0.5M
| 0.5M
| 0.5M
| 0.5M
| | 0.3M
| 0.3M
| 0.3M
|
sk
| 6,750 | 20.1M | 1.4M | 36.8k
| 41.4k
| 34.8k
| 30.2k
| 16.9k
| 35.7k
| 36.4k
| 37.2k
| 16.9k
| 36.2k
| 33.4k
| 37.0k
| 39.1k
| 39.4k
| 18.0k
| 34.4k
| 39.0k
| 33.8k
| 0.4M
| | 23.3k
| 20.2k
|
sl
| 7,375 | 21.8M | 1.5M | 46.5k
| 54.3k
| 52.1k
| 45.3k
| 15.8k
| 53.4k
| 53.4k
| 53.5k
| 17.0k
| 53.5k
| 47.1k
| 53.4k
| 56.5k
| 55.7k
| 18.7k
| 52.3k
| 55.7k
| 51.2k
| 0.5M
| 38.7k
| | 30.1k
|
sv
| 20,241 | 53.1M | 3.3M | 45.1k
| 1.2M
| 1.6M
| 1.5M
| 16.0k
| 0.8M
| 1.6M
| 1.6M
| 21.0k
| 1.6M
| 0.5M
| 1.6M
| 1.0M
| 1.5M
| 16.5k
| 1.6M
| 1.6M
| 1.6M
| 0.4M
| 33.5k
| 51.5k
| |
---|
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.