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LanguageLand : a multimodal conversational spoken language learning system

Author(s)
Lee, Vivienne C. (Vivienne Catherine)
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Alternative title
Language Land : a multimodal conversational spoken language learning system
Other Contributors
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Advisor
Stephanie Seneff and Chao Wang.
Terms of use
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
LanguageLand is a multimodal conversational spoken language learning system whose purpose is to help native English users learn Mandarin Chinese. The system is centered on a game that involves navigation on a simulated map. It consists of an edit and play mode. In edit mode, users can set up the street map with whichever objects (such as a house, a church, a policeman) they see in the toolbar. This can be done through spoken conversation over the telephone or typed text along with mouse clicks. In play mode, users are given a start and end corner and the goal is to get from the start to the end on the map. While the system only responds actively to accurate Mandarin phrases, the user can speak or type in English to obtain Mandarin translations of those English words or phrases. The LanguageLand application is built using Java and Swing. The overall system is constructed using the Galaxy Communicator architecture and existing SLS technologies including Summit for speech recognition, Tina for NL understanding, Genesis for NL generation, and Envoice for speech synthesis.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
 
Includes bibliographical references (leaves 96-98).
 
Date issued
2004
URI
http://hdl.handle.net/1721.1/33143
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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