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InterCorp Release 11

Name Czech – core Czech – collections other – core other – collections
Positions Number of tokens 132,508,429 115,574,528 340,554,768 1,550,923,096
Number of word forms 106,898,538 88,872,779 283,075,338 1,225,361,750
Structural attributes Number of documents 1,564 28 3,494 261
Number of text 1,507 111,672 3,232 1,841,341
Number of sentences 9,193,433 13,556,382 21,000,997 142,734,659
Further information reference YES
representative NO
publication date 2018
foreign languages 39
tagged languages 26
lemmatized languages 25

Access to the texts

After registration the corpus can be searched using a web interface. The registration is valid for all ICNC corpora with public access. If you already have a user name and password for the Czech part of the Czech National Corpus, you do not need to register for the parallel corpus.

InterCorp can be accessed via a standard web browser from KonText, the integrated search interface of the Czech National Corpus. A tutorial is available in Czech and a brief summary also in English.

After signing a non-profit licence agreement, texts from InterCorp can also be acquired as bilingual files including shuffled pairs of sentences. Please contact Martin Vavřín if you are interested.

New release of InterCorp is usually published once per year. With each new release, its size, possibly also the number of languages and the extent and quality of annotation may grow. Previous versions remain available (starting with release 6).

References

If you publish results based on InterCorp we would appreciate a link to the project site www.korpus.cz/intercorp. In your scientific publications please cite the following paper:

Čermák, F., Rosen, A. (2012). The case of InterCorp, a multilingual parallel corpus. International Journal of Corpus Linguistics. Vol. 13, no. 3, p. 411–427 (bibtex, electronic edition at ingentaConnect, preprint version).

For more references see the repository of bibliographical items based on the CNC. All references to work based on InterCorp are welcome. See here for details.

When citing a specific part of InterCorp please use the reference displayed in KonText in the corpus description, e.g. as:

Rosen, A., Vavřín, M., Zasina, A. J. (2018). The InterCorp Corpus – Czech1), version 11 of 19 October 2018. Institute of the Czech National Corpus, Charles University, Prague 2018. Available on-line: http://www.korpus.cz

Texts in the corpus

The core of InterCorp consists mostly of fiction, manually aligned. Intercorp offers also a selection of fully automatically processed texts, so-called collections. The choice in the present release includes:

These texts have been aligned automatically: search results may include a higher number of misaligned segments. Morevore, the collections do not retain all texts from the original resource. This includes texts that have no Czech counterpart. Some texts from the Acquis Communautaire and Europarl corpora have been partially corrected or omitted – as a result, they may differ in form or size if compared with the original source. A similar selection was applied to the Open Subtitles database, where – as an additional reduction – only a single translation was selected per title and language. On the other hand, some metadata items missing in the original resource but detectable from context or other sources have been added.

Each text has a Czech counterpart. As a result, Czech is the pivot language: for every text there is a single Czech version (original or translation), aligned with one or more foreign-language versions. The total size of the available part of InterCorp in release 11 from October 2018 is 283 mil. words in the aligned foreign language texts in the core part and 1,225 mil. words in the collections (see Version history). The share of the core and the collections in the corpus can be seen in the following charts. The charts show the volumes in millions of words.

Setup of the parallel corpus – the core and collections
Setup of the parallel corpus – the core
Setup of the parallel corpus – collections

Corpus size in thousands of words

Language Core Syndicate Presseurop Acquis Europarl Subtitles Bible Total
ar Arabic 34 0 0 0 0 0 0 34
be Belarusian 4,426 0 0 0 0 0 0 4,426
bg Bulgarian 6,780 0 0 13,577 9,083 0 0 29,441
ca Catalan 5,596 0 0 0 0 0 736 6,332
da Danish 5,595 0 0 20,313 13,916 14,429 657 54,910
de German 34,915 4,457 2,483 20,610 13,088 8,392 724 84,669
el Greek 0 0 0 23,853 15,404 23,709 0 62,966
en English 27,968 4,604 2,670 22,902 15,576 52,105 730 126,555
es Spanish 23,349 5,322 2,859 26,262 16,249 36,650 0 110,691
et Estonian 0 0 0 14,896 10,899 10,298 0 36,093
fi Finnish 4,585 0 0 15,489 10,175 15,098 544 45,890
fr French 17,213 5,391 3,046 26,200 17,179 25,986 764 95,779
he Hebrew 0 0 0 0 0 16,221 0 16,221
hi Hindu 409 0 0 0 0 0 0 409
hr Croatian 20,147 0 0 0 0 19,048 571 39,767
hu Hungarian 5 783 0 0 17 852 12 198 21 115 0 56 948
is Icelandic 0 0 0 0 0 1,581 0 1,581
it Italian 11,400 1,141 2,747 23,771 15,494 14,700 684 69,937
ja Japanese 1,198 0 0 0 0 477 0 1,675
lt Lithuanian 287 0 0 17,316 11,213 558 471 29,844
lv Latvian 2,523 0 0 17,522 11,682 280 0 32,008
mk Macedonian 6,508 0 0 0 0 1,877 0 8,385
ms Malay 0 0 0 0 0 3,521 0 3,521
mt Maltese 0 0 0 13,953 0 0 0 13,953
nl Dutch 13,689 711 2,953 23,416 15,558 29,373 717 86,416
no Norwegian 6,675 0 0 0 0 0 721 7,397
pl Polish 24,292 0 2,378 19,594 12,811 26,572 583 86,230
pt Portuguese 4,032 520 3,000 27,301 16,485 43,392 760 95,489
rn Romani 14 0 0 0 0 0 0 14
ro Romanian 3,888 0 2,738 8,092 9,446 34,128 0 58,292
ru Russian 7,062 3,768 0 0 0 6,887 565 18,282
sk Slovak 8,545 0 0 18,401 12,734 5,134 561 45,376
sl Slovenian 3,534 0 0 18,485 12,241 17,023 0 51,282
sq Albanian 0 0 0 0 0 2,003 0 2,003
sr Serbian 10,661 0 0 0 0 20,727 0 31,388
sv Swedish 12,396 0 0 19,609 13,840 14,694 638 61,178
tr Turkish 0 0 0 0 0 21,190 0 21,190
uk Ukrainian 9,571 0 0 0 0 245 596 10,411
vi Vietnamese 0 0 0 0 0 1,474 0 1,474
Subtotal 283,075 30,044 27,189 428,621 278,178 539,250 11,593 1,676 293
cs Czech 106,899 4,124 2,310 19,085 12,188 50,604 562 195,771
TOTAL 389,974 30,073 27,184 428,482 277,458 539,489 11,585 1,704,208

N.B.: Each Czech text is counted only once, even though it may have more than one foreign counterpart.

Morphosyntactic annotation

Texts in the following languages have received some morphosyntactic annotation. The format and often even the meaning of categories encoded in the morphosyntactic tags differs in most languages. Thus for each tagged language we provide a link to the tagset description. After selecting CQL as the query type, the tagset description is available also from the KonText search interface.

Language Tags Lemmas Brief description Detailed description Tool
Belarusian in English****) UDPipe
Bulgarian in English TreeTagger
Catalan in English TreeTagger
Croatian in English ReLDI Tagger
Czech in Czech and English in English Morče
Dutch in English in Dutch TreeTagger
English in English in English + additions TreeTagger
Estonian in Estonian and English TreeTagger
Finnish in English*) in English*) OMorFi +HunPOS
French in English TreeTagger
German in English** in German RFTagger
Hungarian in English RFTagger
Icelandic in English IceStagger
Italian in English TreeTagger
Japanese in English MeCab
Latvian in Latvian LVTagger
Norwegian in English and Norwegian VISL
Polish in English and Polish in English Morfeusz, TaKIPI
Portuguese in Spanish TreeTagger
Russian in English in English*** TreeTagger
Slovak in Slovak in Slovak Radovan Garabík, Morče
Slovene in English ToTaLe
Serbian in English ReLDI Tagger
Spanish in English TreeTagger
Swedish in Swedish and English Stagger
Ukrainian in English****) UDPipe

*) The corpus includes tags in a condensed form, e.g. V:Sg:Nom:Act:PrfPrc:Pos corresponds to [POS=V] [NUM=SG] [CASE=NOM] [VOICE=ACT] [PCP=PRFPRC] [CMP=POS]. Similarly, Pron:Pers:Sg:Ade:Up corresponds to [POS=PRON] [SUBCAT:PERS] [NUM:SG] [CASE=ADE] [CASECHANGE=UP].

**) Within a single morphological tag a colon rather than period is used as a separator of the individual categories, e.g. ADJA:Pos:Nom:Sg:Fem.

***) Tags in the corpus do not always correspond to those listed in the detailed description. Some morphological categories are omitted in the corpus tags, e.g. pronouns are always tagged only as “P-”. All tags, as used in ther corpus, are listed in the brief description.

****) The tag is in the UD (Universal Dependencies) format, components of the tag are separated by a vertical bar (|), e.g. the form школы in genitive singular is tagged as: NOUN|Animacy=Inan|Case=Gen|Gender=Fem|Number=Sing. The query can be specified in the same way as for other languages, treating the tag as a string, i.e.\ [tag="NOUN.*Case=Gen\|Gender=Fem.*"] or the tag components can be specified separately: [tag="Case=Gen" & tag="NOUN" & tag="Gender=Fem"] (the order of categories is not significant). The result is identical in either case.

Tag formats specified in tagset descriptions differ from those actually used in the corpus also in some other languages. Please check the tag format before making a tag query if you are not sure. In a page displaying results open the View/Corpus-specific settings… menu to check the tag option in the Positional attributes box and choose the for each token option in the Viewing options box.

Queries including contracted forms into tagged or lemmatized texts may fail. This includes forms such as can't or I'm, which are split by the tagger into two parts (ca+n't and I+'m) with corresponding lemmas and tags. Similarly with Polish forms byłam or gdybyś (była+m and gdyby+ś). Tokenization may even introduce errors: gdzie ś za Wisłą. In this context, gdzieś is not a contraction. A query intended to find the whole contracted form should be typed in as a Phrase, with the split parts separated by a space. Only the individual parts of the contracted form are assigned a tag and a lemma.

Morphological tags including characters with a special meaning in regular expressions, e.g. “$” in the English tag “wp$”, must be preceded in queries by a backslash: tag=“wp\$”.

Structural attributes

StructureAttributeDescriptionValues
docdoc.iddocument identifier author's_last_name-shortened_title / _ACQUIS / _EUROPARL / _PRESSEUROP_year / _SUBTITLES / _SYNDICATE_year / _OT / _NT
texttext.idtext identifierauthor's_last_name-shortened_title:0 / _ACQUIS:number / _EUROPARL:number / _PRESSEUROP:number / _SUBTITLES:number / _SYNDICATE_year:name / _OT:book / _NT:book
text.authorauthorlast name, first name
text.titlefull titletext
text.langlanguagear / be / bg / ca / cs / da / de / el / en / es / et / fi / fr / he / hi / hr / hu / is / it / ja / lt / lv / mk / ms / mt / nb / nl / no / pl / pt / rn / ro / ru / sk / sl / sq / sr / sv / sy / tr / uk / vi / zh
text.versionversionnumber
text.groupcore/collection Core / Acquis / Europarl / PressEurop / Subtitles / Syndicate / Bible
text.publisherpublishertext
text.pubplacepublication placetext
text.pubDateYearpublication yearnumber
text.pubDateMonthpublication monthnumber
text.origyearoriginal creation yearnumber
text.isbnISBNnumber
text.txtypetext typediscussions - transcripts / drama / fiction / journalism - commentaries / journalism - news / legal texts / nonfiction / other / poetry / subtitles / religious
text.commentcommenttext
text.originaloriginal version?Yes / No
text.srclanglanguage of the originalar / as / az / be / bg / bl / bn / bo / bs / bt / ca / cr / cs / ct / cz / da / de / dk / eb / el / en / es / et / eu / fa / fi / fr / ga / gr / he / hi / hr / hu / hy / id / ie / is / it / ja / ka / ko / ku / lt / lv / mk / mn / ms / mt / my / ni / nl / no / pl / po / ps / pt / rm / rn / ro / ru / se / sk / sl / sq / sr / sv / ta / th / ti / tl / tr / tu / uk / un / ur / vi / zh
text.translatortranslatorlast name, first name
text.transsextranslator's genderF / M
text.authsexauthor's genderF / M
text.transcommenttranslation commenttext
text.collectiontitlecollection titletext
text.volumevolume numbernumber
text.pagesnumber of pagesnumber
text.lang_varlanguage varietyde-AT / de-CH / de-DE / en-AU / en-CA / en-GB / en-UM / en-US / es-ES / es-MX / es-PE / fr-BE / fr-FR / it-CH / it-IT / nl-BE / nl-NL / pt-BR / pt-PT / sr-Latn-RS / sy-Cyrl-RS
text.wordcountnumber of wordsnumber
divdiv.iddivision identifier (Bible) _NT / _OT:chapter
div.typedivision typechapter
pp.idparagraph identifierdoc:text:div:par
ss.idsentence identifierdoc:text:div:par:sent
hihi.rendtypefaceitalic / bold / bold italic
lblb.idverse identifier (Bible)book:chapter:verse

Acknowledgements

We are grateful for the possibility to use the following texts and software:

Texts:

Pre-processing

  • Parallel text editor InterText by Pavel Vondřička
  • Aligner Hunalign
  • Sentence splitter for Czech by Pavel Květoň
  • Sentence splitter for Norwegian by Jarle Ebeling and Pavel Vondřička
  • Sentence splitter Punkt for all other languages from Natural Language Toolkit

Taggers/lemmatizers:

See also

1)
Insert actually used languages.