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   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Stephanie Seneff.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Lee, John Sie Yuen, 1977-</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2005-09-27T17:58:05Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2004</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">59553818</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 75-77).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">We propose an induction algorithm to semi-automate grammar authoring in an interlingua-based machine translation framework. This algorithm is designed for restricted domains within the context of multilingual conversational systems. It uses a pre-existing one-way translation system from some other language to the target language as prior information. It then infers a grammar for the target language. We demonstrate the system's effectiveness on a weather domain and on a travel domain. We automatically induced Chinese and French grammars for these domains from their English counterparts, and then showed that they can produce high-quality interlingua to be used in translation.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by John Sie Yuen Lee.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
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   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">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.</dim:field>
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   <dim:field mdschema="dc" element="subject" lang="en_US">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Translingual grammar induction for conversational systems</dim:field>
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   	&lt;Title>Translingual grammar induction for conversational systems&lt;/Title>
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   	&lt;PublicationDate>2004&lt;/PublicationDate>
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        	&lt;DisplayName>Lee, John Sie Yuen, 1977-&lt;/DisplayName>
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    &lt;Keyword>Electrical Engineering and Computer Science.&lt;/Keyword>
   	&lt;Abstract>We propose an induction algorithm to semi-automate grammar authoring in an interlingua-based machine translation framework. This algorithm is designed for restricted domains within the context of multilingual conversational systems. It uses a pre-existing one-way translation system from some other language to the target language as prior information. It then infers a grammar for the target language. We demonstrate the system&amp;apos;s effectiveness on a weather domain and on a travel domain. We automatically induced Chinese and French grammars for these domains from their English counterparts, and then showed that they can produce high-quality interlingua to be used in translation.&lt;/Abstract>
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