Overview
The Cambridge University Institute for Automated Language Teaching and
Assessment (ALTA) is a virtual institute which brings together teams
from computing, engineering, linguistics and language assessment to
investigate new ways of using technology to enhance language learning
and to develop cutting-edge approaches to assessment which will
benefit learners and teachers worldwide. It forms part of Cambridge
University's Language Sciences
Interdisciplinary Research Center.
Sponsorship from Cambridge Assessment English
supports a team of PhD students and post-doctoral researchers
who investigate a range of topics, including:
- text and speech processing;
- machine learning;
- corpus development and analysis;
- security, platforms and deployment.
The institute comprises researchers at the Department of Computer Science and Technology (CST) and
the Department of Engineering (CUED).
The principal investigators, and research areas, are:
The research in the CUED Speech Group is focused on spoken
language assessment and learning. The group works on all aspects
of this area from core speech recognition and
machine learning, to spoken language assessment, to feedback and
the nature of the test.
Personnel Associated with ALTA @CUED
Former members:
- Karl Bates [UGrad student]
- Dr Jeff Chen [Research Associate]
- Dr Rogier van Dalen [Research Associate]
- Shixiang Gu [Research Student (part funded)]
- Prof D. Littman [Visitor]
- Hanxu Lu [UROP/UGrad student]
- Zhi Chen Neo [UROP student]
- Junjie Pan [MPhil student]
- Sebastian Popescu [MPhil student]
- Dr Anton Ragni [Research Associate]
- Mohammad Rashid [MPhil student]
- Marco del Vecchio [MPhil student]
- Yisheng Xu [UGrad student]
top
![[Univ of Cambridge]](http://www.eng.cam.ac.uk/images/house_style/uniban-s.gif){kind=small}
![[Dept of Engineering]](http://www.eng.cam.ac.uk/images/house_style/engban-s.gif)