CIAIR Simultaneous Interpretation Corpus
By Hitomi Tohyama, Koichiro Ryu, S. Matsubara, Nobuo Kawaguchi, Y. Inagaki. 2004
22 citations recorded by the source corpus.
Subfields: Machine Translation, Speech & Audio
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Machine Translation
In Speech & Audio
- Changhan Wang
- Juan Pino
- Ann Lee
- Emmanuel Dupoux
- Morgane Rivière
- Sakriani Watiasri Sakti
- Satoshi Nakamura
- Wei-Ning Hsu
Citations in the corpus
- VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation (2021, background): “CIAIR (Tohyama et al., 2004) and STC (Shimizu et al., 2014) are simultaneous interpretation corpora between English and Japanese with a total of about 180 hours for the former, while the latter is currently unavailable for download.”
- Textless Speech-to-Speech Translation on Real Data (2021, neutral): “Overall, there exists few S2ST corpora as the process of creating aligned speech data between two languages usually requires transcribing both data (Tohyama et al., 2004; Bendazzoli et al., 2005) or access to high-quality ASR models (Wang et al.”
- CVSS Corpus and Massively Multilingual Speech-to-Speech Translation (2022, neutral): “Similarly, a few other corpora with S2ST pairs are no longer publicly available, such as: EPIC (Bendazzoli et al., 2005), containing 18 hours simultaneous interpretation among Italian, English and Spanish, originated from the European Parliament speech; CIAIR (Tohyama et al., 2004), containing 182 h”
- Collection of a Simultaneous Translation Corpus for Comparative Analysis (2014, background): “On the other hand, there have also been some works on constructing simultaneous interpretation databases (Toyama et al., 2004; Paulik and Waibel, 2009; Sridhar et al., 2013a).”