Corpus analysis of simultaneous interpretation data for improving real time speech translation
By Vivek Kumar Rangarajan Sridhar, John Chen, Srinivas Bangalore. 2013
14 citations recorded by the source corpus.
Subfields: Artificial Intelligence, 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 Artificial Intelligence
- Juan Pino
- Changhan Wang
- Ann Lee
- Emmanuel Dupoux
- Wei-Ning Hsu
- Graham Neubig
- Satoshi Nakamura
- Sakriani Watiasri Sakti
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): “There are differences, however, between translationese and interpretese (Sridhar et al., 2013; He et al., 2016), where interpreters develop a variety of strategies to improve simultaneity.”
- Collection of a Simultaneous Translation Corpus for Comparative Analysis (2014, methodology): “, 2013; Sridhar et al., 2013b) that automatically divide longer sentences up into a number of shorter ones. 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). Toyama et al. (2”