Language generation and speech synthesis in dialogues for language learning

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.

Bibliographic Details
Main Author: Zhang, Julia, 1981-
Other Authors: Stephanie Seneff and Chao Wang.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2005
Subjects:
Online Access:http://hdl.handle.net/1721.1/17971
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author Zhang, Julia, 1981-
author2 Stephanie Seneff and Chao Wang.
author_facet Stephanie Seneff and Chao Wang.
Zhang, Julia, 1981-
author_sort Zhang, Julia, 1981-
collection MIT
description Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
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spelling mit-1721.1/179712019-04-11T06:30:42Z Language generation and speech synthesis in dialogues for language learning Zhang, Julia, 1981- Stephanie Seneff and Chao Wang. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004. Includes bibliographical references (p. 67-68). Since 1989, the Spoken Language Systems group has developed an array of applications that allow users to interact with computers using natural spoken language. A recent project of interest is to develop an interactive conversational system to assist students in mastering a foreign language. The Spoken Language Learning System (SLLS), the first such system developed in SLS, has many impressive capabilities and shows great potential to be used as a model for language learning. This thesis further develops and expands on SLLS towards the goal of a more sophisticated conversational system. We make extensive use of Genesis, a language generation tool, to complete a variety of natural language generation and translation tasks. We aim to generate natural, well-formed, grammatically correct sentences and produce high quality synthesized waveforms for language students to emulate. We hope to develop a system that will engage the user in a natural and realistic way, and our goal is to mimic human-to-human conversant interactions as closely as possible. by Julia Zhang. M.Eng. 2005-06-02T19:27:41Z 2005-06-02T19:27:41Z 2004 2004 Thesis http://hdl.handle.net/1721.1/17971 57174711 eng 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 68 p. 3079530 bytes 3086387 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Zhang, Julia, 1981-
Language generation and speech synthesis in dialogues for language learning
title Language generation and speech synthesis in dialogues for language learning
title_full Language generation and speech synthesis in dialogues for language learning
title_fullStr Language generation and speech synthesis in dialogues for language learning
title_full_unstemmed Language generation and speech synthesis in dialogues for language learning
title_short Language generation and speech synthesis in dialogues for language learning
title_sort language generation and speech synthesis in dialogues for language learning
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/17971
work_keys_str_mv AT zhangjulia1981 languagegenerationandspeechsynthesisindialoguesforlanguagelearning