[Univ of Cambridge] [Dept of Engineering]

ALTA Spoken Language Processing Technology (SLP) Project


[ Overview | Personnel | Presentations | Publications]

Openings

  • There are no openings at this time.

Overview

       

The Cambridge Institute for Automated Language Teaching and Assessment (ALTA) is a virtual institute that brings together researchers from Cambridge University Press & 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), organised into a consortium of projects. The projects and their principal investigators are:

The ALTA 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.

Try it out: practise speaking English with Speak&Improve

Please email Kate Knill kate.knill @ eng.cam.ac.uk if you have any questions.

Personnel Associated with ALTA Spoken Language Processing Technology Project

  • Dr Kate Knill [Project Lead]
  • Prof Mark Gales [Co-Investigator]
  • Simon McKnight [Research Assistant]
  • Yassir Fathullah [Research Student] (Gates Scholar)
  • Adian Liusie [Research Student]
  • Yiting (Edie) Lu [Research Student] (part-funded)
  • Rao Ma [Research Student]
  • Charlie McGhee [Research Student] (DTP funded)
  • Potsawee Manakul [Research student] (Cambridge University funded)
  • Vatsal Raina [Research Student] (DTP funded)
  • Vyas Raina [Research Student]
  • Filip Cermak [UROP (50%)/UGrad Student]
  • Arda Civelekoglu [UGrad Student]
  • Ilora Ishaque [UGrad Student]
  • Zixin (Sharice) Liu [UROP/UGrad Student]
  • Chentianyi Yang [UROP/UGrad Student]
  • Haifan Zhao [UGrad Student]

Collaborators:

Former members:

  • Bertie Bull [UROP student/UGrad student]
  • Karl Bates [UGrad student]
  • Bhanu Balusu [UROP/UGrad Student]
  • Dr Jeff Chen [Research Associate]
  • Dr Rogier van Dalen [Research Associate]
  • Qingyun Dou [Part-Time Researcher]
  • Santiago Dubov [UGrad student]
  • Shixiang Gu [Research Student (part funded)]
  • Prof D. Littman [Visitor]
  • Sanchit Gandhi [UROP student/UGrad student]
  • Kostas Kyriakopoulos [Research Student]
  • Shangyi Lin [UGrad student]
  • Hanxu (Vicky) Lu [UROP/UGrad student]
  • Justine Hong [UGrad Student]
  • Bruno Mlodozeniec [UROP student]
  • Zhi Chen Neo [UROP student]
  • Preben Ness [UROP student]
  • Junjie Pan [MPhil student]
  • Sebastian Popescu [MPhil student]
  • Puria Radmard [UROP/UGrad Student]
  • Mohammad Rashid [MPhil student]
  • Ollie Rose [UGrad student]
  • Sense Sunyabhisithkul [UGrad Student]
  • Marco del Vecchio [MPhil student]
  • Dr Linlin Wang [Research Associate]
  • Yufan Wang [MPhil student]
  • Xizi Wei [Research Assistant]
  • Guoxuan Xia [UGrad student]
  • Yisheng (Darren) Xu [UGrad student]
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Presentations

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Publications

[ Assessment Systems | Speech Recognition | Speech Synthesis | Malpractice & Bias ]
[Off-Topic Detection | Feedback | Machine Learning ]

Assessment Systems and Infrastructure

Automatic Speech Recognition

Speech Synthesis

Malpractice and Bias

Off-Topic Response Detection and Question Answering

Feedback (Pronunciation, Grammar, Functional Competency)

Machine Learning

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