2 citations · 2 across the 1 of their papers we have counts for
4 papers
Checks and Strategies for Enabling Code-Switched Machine Translation
Thamme Gowda, Mozhdeh Gheini, Jonathan May
Code-switching is a common phenomenon among multilingual speakers, where alternation between two or more languages occurs within the context of a single conversation. While multili…
Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation
Mozhdeh Gheini, Xiang Ren, Jonathan May
We study the power of cross-attention in the Transformer architecture within the context of transfer learning for machine translation, and extend the findings of studies into cross…
ParsiNLU: A Suite of Language Understanding Challenges for Persian
Daniel Khashabi, Arman Cohan, Siamak Shakeri +22
Despite the progress made in recent years in addressing natural language understanding (NLU) challenges, the majority of this progress remains to be concentrated on resource-rich l…
A Universal Parent Model for Low-Resource Neural Machine Translation Transfer
Mozhdeh Gheini, Jonathan May
Transfer learning from a high-resource language pair `parent' has been proven to be an effective way to improve neural machine translation quality for low-resource language pairs `…