7 citations · 11 across the 3 of their papers we have counts for
3 papers · 1 filter
The Multilingual TEDx Corpus for Speech Recognition and Translation
Elizabeth Salesky, Matthew Wiesner, Jacob Bremerman +5
We present the Multilingual TEDx corpus, built to support speech recognition (ASR) and speech translation (ST) research across many non-English source languages. The corpus is a co…
Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus
Luisa Bentivogli, Beatrice Savoldi, Matteo Negri +3
Translating from languages without productive grammatical gender like English into gender-marked languages is a well-known difficulty for machines. This difficulty is also due to t…
Unsupervised Clustering of Commercial Domains for Adaptive Machine Translation
Mauro Cettolo, Mara Chinea Rios, Roldano Cattoni
In this paper, we report on domain clustering in the ambit of an adaptive MT architecture. A standard bottom-up hierarchical clustering algorithm has been instantiated with five di…