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

  Authors

Macháček, Dominik ; Žilinec, Matúš and Bojar, Ondřej

  Item identifier

http://hdl.handle.net/11234/1-5415

 Referenced by

https://www.isca-speech.org/archive/pdfs/interspeech_2021/machacek21_interspeech.pdf

 Date issued

2024-02-05

 Type

audio, corpus

 Size

10 hours, 370 entries, 4000 sentences, 90000 words

 Language(s)

Czech , English , German

 Description

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.

 Publisher

Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)

 Acknowledgement

European Union

Project code: H2020-ICT-2018-2-825460

Project name: ELITR - European Live Translator

 

Grant Agency of Charles University

Project code: 398120

Project name: Machine Translation of Interpreted Speech

 

Czech Science Foundation

Project code: 19-26934X

Project name: Neural Representations in Multi-modal and Multi-lingual Modelling

 Subject(s)

simultaneous interpreting interpreting ASR evaluation automatic machine translation evaluation Europarl

 Collection(s)

LINDAT / CLARIAH-CZ Data & Tools

 Other versions

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