Phonological vs. morphological complexity in 21 DoReCo languages

Corpus-based measures taken on 21 DoReCo data sets shed new light on an old puzzle: How are phonological and morphological complexity related? It turns out there is a positive typological correlation, specifically between syllable complexity and morphological synthesis, even if looking separately at nouns vs. verbs, and word-initial vs. word-final complexity. Why? Read all about it in Easterday, Stave, Allassonnière-Tang & Seifart’s newest Frontiers paper at

Final lengthening in 17 DoReCo languages

We finalized processing of 17 languages and analyzed these regarding final lengthening. Results were presented at three conferences: the 12th International Seminar on Speech Production (poster), the 18th Old World Conference on Phonology (abstract), and the 43rd Annual Conference of the German Linguistic Society (DGfS) (workshop program). Thanks to the audiences for feedback! Here’s a snapshot of some of the results:

Congrats Asst Prof Easterday

It’s official: (Former) DoReCo project member Shelece Easterday will be
assistant professor at the University of Hawai’i. Congratulations,
Shelece! We’re looking forward to cooperating with you at U Hawai’i on
corpus-based, cross-linguistic studies on, e.g., phonological complexity.

50 languages!

Early into the second project year, we have now received data sets from more than 50 languages (see These data sets are currently at various stages of processing, but we have already fully processed and created alignments at the word and segment levels for the following five languages: Arapaho, Kamas, Svan, Urum, and Yongning Na. As the number of fully processed corpora grows, several exciting phonetic and morphological studies are already on their way, building on the research ideas described in Stay tuned for more info!

DoReCo workflow @ LREC

We are proud to announce our latest publication, in which we describe in detail DoReCo’s data processing workflow:
Paschen, Ludger, François Delafontaine, Christoph Draxler, Susanne Fuchs, Matthew Stave & Frank Seifart (2020). Building a Time-Aligned Cross-Linguistic Reference Corpus from LanguageDocumentation Data (DoReCo). Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), 2657–2666.
For a list of all DoReCo publications, see

PostDoc opportunity

DoReCo’s sister project QUEST in Berlin is looking for a PostDoc to work on optimizing fieldwork data for cross-linguistic research. We’re open to candidates proposing their own cross-linguistic, cross-corpus research questions for exploratory projects, using, e.g. DoReCo data. Check out details at

PhD opportunities

Our host institution in Berlin, Leibniz-ZAS, currently invites applications for PhD positions, deadline 15.3.2020: One possibility are PhD projects that exploit and further develop DoReCo. Potential applicants are welcome to contact Frank Seifart before applying. Spread the word among your students and colleagues!