Recherche
Advancing how machines understand and generate human language across speech, text, and translation.
With students from all over the world, the Bellevue School District is an incredibly diverse district. More than 80 languages are spoken, with over 30% of students speaking a first language other than English. A…
Neural Machine Translation provides very useful representation for the language in context. The sentences and words representation leaned from Neural Machine translation models can be efficiently used to boost the performance of many Natural Language…
Machine translation has become a crucial component for enabling global communication. Millions of people are using online translation systems and mobile applications to communicate across language barriers. Machine translation has made rapid advances in recent…
Spoken language translation is usually limited by the non-availability of the parallel data. We generate synthetic data for Neural Machine Translation of Spoken-Dialects. We introduce a novel approach to generate synthetic data for training Neural…
We are using Neural Machine Translation (NMT) to achieve state-of-the-art translation performance. We are working on large scale / real-time translation systems to support high quality translation for various languages. We used LSTM Sequence-to-Sequence models.…
Speech technologies exist for many high resource languages, and attempts are being made to reach the next billion users by building resources and systems for many more languages. Multilingual communities pose many challenges for the…