Dataset Open Access

EXMARaLDA Demo corpus 1.1

Hamburger Zentrum für Sprachkorpora

Data curator(s)
Schütte, Wilfried; Stachowicz, Roman; Fuchs, Florian; Schwalm, Martina; Görlich, Maria; Sambale, Heidemarie; Kaminska, Karolina; Hamze, Kim-Chi; Loehr,, Dan; Schmidt, Thomas; Watzke, Franziska; M., Peter; Rolle, Andrea; Hedeland, Hanna; Al-Jaraf, Tara; Schnieder, Annette; Merkel, Silke; Yusun, Secil; Wörner, Kai; Stäwen, Nicole

A selection of short audio and video recordings in various languages to be used for instruction or demonstration of the EXMARaLDA system.

The EXMARaLDA Demo Corpus is a small corpus which you can use to try out the functionality of the EXMARaLDA system. Please note that this corpus is for demonstration purposes only and will be changed occasionally. Further information can be found in a PDF document that describes the online and offline use of the EXMARaLDA Demo Corpus.

 

CLARIN Metadata summary for EXMARaLDA Demo corpus (CMDI-based)

Title: EXMARaLDA Demo corpus
Description: A selection of short audio and video recordings in various languages to be used for instruction or demonstration of the EXMARaLDA system.
Publication date: 2020
Data owner: Hamburger Zentrum für Sprachkorpora, Max-Brauer-Allee 60 / D-22765 Hamburg, corpora@uni-hamburg.de
Contributors: Hamburger Zentrum für Sprachkorpora, Max-Brauer-Allee 60 / D-22765 Hamburg, corpora@uni-hamburg.de (depositor), Hamburger Zentrum für Sprachkorpora, Max-Brauer-Allee 60 / D-22765 Hamburg, corpora@uni-hamburg.de (compiler), Wilfried Schütte, schuette@ids-mannheim.de (compiler), Dan Loehr, loehrd@georgetown.edu (compiler), Hamburger Zentrum für Sprachkorpora, Max-Brauer-Allee 60 / D-22765 Hamburg, corpora@uni-hamburg.de (compiler), Secil Yusun (data_inputter), Annette Schnieder (data_inputter), Andrea Rolle (data_inputter), Silke Merkel (data_inputter), Thomas Schmidt (data_inputter), Martina Schwalm (data_inputter), Peter M. Fischer (data_inputter), Kim-Chi Hamze (data_inputter), Franziska Watzke (data_inputter), Roman Stachowicz (data_inputter), Karolina Kaminska (data_inputter), Nicole Stäwen (data_inputter), Maria Görlich (data_inputter), Tara Al-Jaraf (data_inputter), Florian Fuchs (data_inputter), Heidemarie Sambale (data_inputter), Hamburger Zentrum für Sprachkorpora, Max-Brauer-Allee 60 / D-22765 Hamburg, corpora@uni-hamburg.de (developer), Thomas Schmidt (researcher), Kai Wörner (researcher), Hanna Hedeland (researcher), Deutsche Forschungsgemeinschaft (DFG) (sponsor)
Project: Z2 "Computer Assisted Methods for the creation and analysis of multilingual data", German Research Foundation (DFG)
Keywords: L1 data, EXMARaLDA
Languages: German (deu), English (eng), French (fra), Spanish (spa), Turkish (tur), Polish (pol), Vietnamese (vie), Swedish (swe), Norwegian (nor), Italian (ita), Russian (rus), Afrikaans (afr), Portuguese (por)
Size: 69 speakers (23 female, 46 male), 26 communications, 1.89 hours, 113 minutes, 26 recordings, 26 transcriptions, 19918 words
Annotation types:

  • transcription (manual): HIAT (simplified)
  • HIAT Mimik und Gestik der Sprecher werden nur ansatzweise angedeutet. Abkürzungen: LA= linker Arm, RA= rechter Arm, LH= linke Hand, RH= rechte Hand, KO= Kopf, OK= Oberkörper.
  • cs: code-switch
  • de: German translation
  • en: English translation
  • k: free comment
  • akz: accentuation/stress
  • nv: non-verbal
  • sup: suprasegmental information
  • hd: Standard German translation

Temporal Coverage: 1970-01-07/2013-04-01
Spatial Coverage: Hamburg, DE; DE; Lisbon, PT; London, GB; St. Aegidien, DE; ES; IT; Mülheimer Straße 36, 46045 Oberhausen, DE; Finnentroper Str. 39, 57439 Attendorn, DE; Reeperbahn, 20359 Hamburg, DE; 21 Jump Street, 41610 Virginia, US; Theaterplatz 2, 01067 Dresden, DE; GB; Moscow, RU; VN; US; Reykjavik, IS; PL; Paris, FR; SE
Genre: discourse
Modality: spoken

 

Files (5.4 GB)
Name Size
EXMARaLDA-Demokorpus.cmdi
md5:f8df30ea527fa3e5214723540ae59e93
41.1 kB Download
EXMARaLDA-Demokorpus.xml
md5:7fae52a644f3f990d27b59a74ffc0002
8.4 kB Download
EXMARaLDA-Demokorpus.zip
md5:5fba9865c2ba153f6c40277abe26a483
5.4 GB Download

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