This package contains data sets for development and testing of machine translation of sentences from summaries of medical articles between Czech, English, French, and German. and This work was supported by the EU FP7 project Khresmoi (European Comission contract No. 257528). The language resources are distributed by the LINDAT/Clarin project of the Ministry of Education, Youth and Sports of the Czech Republic (project no. LM2010013). We thank all the data providers and copyright holders for providing the source data and anonymous experts for translating the sentences.
This package contains data sets for development (Section dev) and testing (Section test) of machine translation of sentences from summaries of medical articles between Czech, English, French, German, Hungarian, Polish, Spanish
and Swedish. Version 2.0 extends the previous version by adding Hungarian, Polish, Spanish, and Swedish translations.
KinOath Kinship Archiver is a kinship application with the primary goal of connecting kinship data with archived data, such as audio, video or written resources while also being closely integrated with the archive software such as Arbil. Beyond this primary goal it is designed to be flexible and culturally nonspecific, such that culturally different social structures can equally be represented. Kin type strings are used throughout the application for constructing and searching data sets. The representation of kin terms is also integrated into the application allowing comparative diagrams of kin terms. Graphical representation of the data is an important part of the application and the diagrams produced are intended to very flexible and of publishable quality.
An interactive web demo for querying selected ÚFAL and LINDAT corpora. LINDAT/CLARIN KonText is a fork of ÚČNK KonText (https://github.com/czcorpus/kontext, maintained by Tomáš Machálek) that contains some modifications and additional features. Kontext, in turn, is a fork of the Bonito 2.68 python web interface to the corpus management tool Manatee (http://nlp.fi.muni.cz/trac/noske, created by Pavel Rychlý).