Published on 9 September 2026 (pilot version)

• New books in the core: 40 new Czech titles (1852 in total), 214 new titles across all languages (6669 in total); for an overview, see the InterCorp Core Guide; see also the Hall of Fame listing everyone who contributed to the expansion of the core in version 17ud
• New language: Kashubian (code cb, currently 2 books in the core)
• New text collection: TED Talks – 1383 Czech talk transcripts, i.e. 2.4 million positions; 39,374 transcripts across all languages, i.e. 28.9 million positions
• Additions to the Project Syndicate collection from 2021–2025
• The Bible is now also available in Spanish and Upper Sorbian

• This is the first version available exclusively with linguistic annotation based on Universal Dependencies
• In Slavic and Romance languages, multiword verb forms are now annotated as well; see the positional attribute cw_feats – content-word features (cw_feats)
• In the core, authors are now also identified by a name that is consistent across all languages (text attribute rf_author)
• The positional attributes that can be used to navigate syntactic structure have been extended to include references to the word form of the head: p_word (parent word form) and e_word (effective parent word form)
• Newer language models (ud-2.17) were used for linguistic annotation; only Chinese will be annotated differently in the final version of 17ud (but the resulting annotation will be compatible with Universal Dependencies)
• New segmentation and alignment tools (Vecalign) were used to prepare the TED Talks collection

• In Advanced Query, the value of the positional attribute deprel (the syntactic function of a word) can now be entered in the same way as values of the upos and feats attributes, i.e. by selecting it from the Insert tag menu
• Clicking any word in one language in a concordance highlights its most probable translation equivalent in the second and any additional language (this feature also works in older versions of InterCorp)

• The author's name was not given consistently for some texts within the same language (text attribute author)
• In languages written in Cyrillic, characters graphically identical to Latin characters were sometimes incorrectly encoded as Latin; we have managed to eliminate most of these errors

Published 17 September 2024

• Contains the same texts as release 16
• Mainly differs in the unified linguistic annotation of all languages according to the Universal Dependencies standard (cf. Release 13ud)
• Metadata for each sentence and text now include measures of syntactic complexity, for each text also measures of lexical diversity
• Information about the corpus