ESIC 1.1 -- Europarl Simultaneous Interpreting Corpus (2024-02-05)

PID

ESIC (Europarl Simultaneous Interpreting Corpus) is a corpus of 370 speeches (10 hours) in English, with manual transcripts, transcribed simultaneous interpreting into Czech and German, and parallel translations. The corpus contains source English videos and audios. The interpreters' voices are not published within the corpus, but there is a tool that downloads them from the web of European Parliament, where they are publicly avaiable. The transcripts are equipped with metadata (disfluencies, mixing voices and languages, read or spontaneous speech, etc.), punctuated, and with word-level timestamps. The speeches in the corpus come from the European Parliament plenary sessions, from the period 2008-11. Most of the speakers are MEP, both native and non-native speakers of English. The corpus contains metadata about the speakers (name, surname, id, fraction) and about the speech (date, topic, read or spontaneous). ESIC has validation and evaluation parts. The current version is ESIC v1.1, it extends v1.0 with manual sentence alignment of the tri-parallel texts, and with bi-parallel sentence alignment of English original transcripts and German interpreting.

Identifier
PID http://hdl.handle.net/11234/1-5415
Related Identifier https://www.isca-speech.org/archive/pdfs/interspeech_2021/machacek21_interspeech.pdf
Related Identifier http://hdl.handle.net/11234/1-3719
Metadata Access http://lindat.mff.cuni.cz/repository/oai/request?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:lindat.mff.cuni.cz:11234/1-5415
Provenance
Creator Macháček, Dominik; Žilinec, Matúš; Bojar, Ondřej
Publisher Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Publication Year 2024
Funding Reference info:eu-repo/grantAgreement/EC/H2020/825460
Rights Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0); http://creativecommons.org/licenses/by-nc-sa/4.0/; PUB
OpenAccess true
Contact lindat-help(at)ufal.mff.cuni.cz
Representation
Language English; Czech; German
Resource Type corpus
Format application/zip; application/octet-stream; downloadable_files_count: 1
Discipline Linguistics