GoURMET v2

Parallel corpora from Web Crawls collected in the gourmet project and further processed for making it a multi-parallel corpus by pivoting via English.

14 languages, 13 bitexts
total number of files: 32
total number of tokens: 159.93M
total number of sentence fragments: 5.23M

Please, acknowledge the gourmet project at https://gourmet-project.eu. This version is derived from the original release at their website adjusted for redistribution via the OPUS corpus collection. Please, acknowledge OPUS as well for this service.

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.

License: Creative Commons CC0 license
Copyright: All content is made publicly available through a Creative Commons CC0 license.

The data is released under the Creative Commons CC0 license ("no rights reserved")

Release history:

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

	am	en	ha	hbs	ig	ky	mk	my	ps	ru	sr	sw	tr	yo
am		view													am
en	ces		view	view	view	view	view	view	view		view	view	view	view	en
ha		ces													ha
hbs		ces													hbs
ig		ces													ig
ky		ces								view					ky
mk		ces													mk
my		ces													my
ps		ces													ps
ru						ces									ru
sr		ces													sr
sw		ces													sw
tr		ces													tr
yo		ces													yo
	am	en	ha	hbs	ig	ky	mk	my	ps	ru	sr	sw	tr	yo

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	am	en	ha	hbs	ig	ky	mk	my	ps	ru	sr	sw	tr	yo
am	1	0.9M	58.1k		57.8k
en	15	83.5M	2.6M	57.8k		19.9k	0.4M	30.0k	14.5k	60.7k	1.0k	36.5k		0.3M	0.1M	0.8M	0.1k
ha	1	0.5M	22.4k		19.9k
hbs	1	10.2M	0.4M		0.4M
ig	1	0.7M	31.4k		30.0k
ky	2	0.5M	38.6k		14.5k								23.0k
mk	1	2.2M	86.3k		71.5k
my	1	27.6k	1.0k		1.0k
ps	1	0.8M	46.0k		46.0k
ru	1	0.4M	23.8k						23.0k
sr	1	10.6M	0.4M		0.3M
sw	1	3.5M	0.2M		0.2M
tr	4	46.0M	1.4M		1.3M
yo	1	1.3k	0.1k		0.1k

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.