5 citations · 11 across the 5 of their papers we have counts for
7 papers · 1 filter
Speech-to-Speech Translation For A Real-world Unwritten Language
Peng-Jen Chen, Kevin Tran, Yilin Yang +13
We study speech-to-speech translation (S2ST) that translates speech from one language into another language and focuses on building systems to support languages without standard te…
The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation
Tobias Domhan, Eva Hasler, Ke Tran +3
Vocabulary selection, or lexical shortlisting, is a well-known technique to improve latency of Neural Machine Translation models by constraining the set of allowed output words dur…
Generating Synthetic Data for Task-Oriented Semantic Parsing with Hierarchical Representations
Ke Tran, Ming Tan
Modern conversational AI systems support natural language understanding for a wide variety of capabilities. While a majority of these tasks can be accomplished using a simple and f…
From English To Foreign Languages: Transferring Pre-trained Language Models
Ke Tran
Pre-trained models have demonstrated their effectiveness in many downstream natural language processing (NLP) tasks. The availability of multilingual pre-trained models enables zer…
Zero-shot Dependency Parsing with Pre-trained Multilingual Sentence Representations
Ke Tran, Arianna Bisazza
We investigate whether off-the-shelf deep bidirectional sentence representations trained on a massively multilingual corpus (multilingual BERT) enable the development of an unsuper…
Inducing Grammars with and for Neural Machine Translation
Ke Tran, Yonatan Bisk
Machine translation systems require semantic knowledge and grammatical understanding. Neural machine translation (NMT) systems often assume this information is captured by an atten…