An Approach to Corpus-Based Interpreting Studies: Developing EPIC (European Parliament Interpreting Corpus)

By M. Russo, E. Ballardini, Silvia Bernardini. 2007

62 citations recorded by the source corpus.

Subfields: Computational Linguistics & Semantics, Linguistics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Linguistics & Semantics

1. Graham Neubig
2. Vivek Kumar Rangarajan Sridhar
3. Srinivas Bangalore
4. John Chen

In Linguistics

1. Satoshi Nakamura
2. Graham Neubig
3. Vivek Kumar Rangarajan Sridhar
4. Srinivas Bangalore
5. John Chen

Citations in the corpus

• Collection of a Simultaneous Translation Corpus for Comparative Analysis (2014, methodology): “Rangarajan et al. (2013a) also used the European Parliament Interpreting Corpus (EPIC) (Claudio and Annalisa, 2005) which is a trilingual (Italian, English and Spanish) corpus of European Parliament speeches.”
• Corpus analysis of simultaneous interpretation data for improving real time speech translation (2013, methodology): “The EPIC corpus [5] is a parallel corpus of European Parliamentary speeches and their corresponding simultaneous interpretations.”
• MuST-C: a Multilingual Speech Translation Corpus (2019, background): “(2014) En↔Jp 22 Federmann and Lewis (2017) En↔Jp/Zh 22 Bendazzoli and Sandrelli (2005) En↔It/Es 18 It↔Es Bérard et al.”