Overview
The Cambridge Institute
for Automated Language
Teaching and Assessment (ALTA) is a virtual institute that
brings together researchers from Cambridge Assessment and the
departments of Computer Science and Technology and Engineering. Using
techniques from Machine Learning and Natural Language Processing,
ALTA's primary objective is to develop technology to enhance the
experience of language learning and to develop cutting-edge approaches
to automated assessment that 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:
- language assessment;
- teaching feedback;
- adaptive learning;
- content creation and calibration.
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
- Prof Mark Gales [Principal Investigator]
- Dr Kate Knill [Principal Research Associate]
- Dr Yu Wang [Research Associate]
- Dr Linlin Wang [Research Associate]
- Kostas Kyriakopoulos [Research Student]
- Yiting (Edie) Lu [Research Student]
- Potsawee Manakul [Research student] (Cambridge University funded)
- Patrick von Platten [Research student] (part funded)
- Adian Liusie [UROP student/UGrad student]
- Vatsal Raina [UROP student/UGrad student]
- Vyas Raina [UROP student/UGrad student]
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 (Vicky) Lu [UROP/UGrad student]
- Andrey Malinin [Research Student/Associate (part funded)]
- Bruno Mlodozeniec [UROP student]
- Zhi Chen Neo [UROP student]
- Preben Ness [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 (Darren) Xu [UGrad student]
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Fully-Funded
PhD Studentship in Spoken Language Assessment and Learning