343 citations · 662 across the 18 of their papers we have counts for
5 papers · 1 filter
Train Global, Tailor Local: Minimalist Multilingual Translation into Endangered Languages
Zhong Zhou, Jan Niehues, Alex Waibel
In many humanitarian scenarios, translation into severely low resource languages often does not require a universal translation engine, but a dedicated text-specific translation en…
Family of Origin and Family of Choice: Massively Parallel Lexiconized Iterative Pretraining for Severely Low Resource Machine Translation
Zhong Zhou, Alex Waibel
We translate a closed text that is known in advance into a severely low resource language by leveraging massive source parallelism. In other words, given a text in 124 source langu…
SANTLR: Speech Annotation Toolkit for Low Resource Languages
Xinjian Li, Zhong Zhou, Siddharth Dalmia +2
While low resource speech recognition has attracted a lot of attention from the speech community, there are a few tools available to facilitate low resource speech collection. In t…
Paraphrases as Foreign Languages in Multilingual Neural Machine Translation
Zhong Zhou, Matthias Sperber, Alex Waibel
Paraphrases, the rewordings of the same semantic meaning, are useful for improving generalization and translation. However, prior works only explore paraphrases at the word or phra…
Massively Parallel Cross-Lingual Learning in Low-Resource Target Language Translation
Zhong Zhou, Matthias Sperber, Alex Waibel
We work on translation from rich-resource languages to low-resource languages. The main challenges we identify are the lack of low-resource language data, effective methods for cro…