Video
A Practical Guide to Neural Machine Translation
In the last two years, attentional-sequence-to-sequence neural models have become the state-of-the-art in machine translation, far surpassing the accuracy phrasal translation systems of in many scenarios. However, these Neural Machine Translation (NMT) systems are not…
Project
Speech Technology for Computational Phonetics and Reading Assessment
This project aims to develop new tools for phonetics research on large speech corpora without requiring traditional phonetic annotations by humans. The idea is to adapt tools from speech recognition to replace the costly and time-consuming…
Publication