<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-18T19:34:08Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/85217" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/85217</identifier><datestamp>2026-06-06T00:54:53Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Robert C. Miller.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Kovács, Géza, M. Eng. Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department 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">2014-03-05T15:55:46Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2014-03-05T15:55:46Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2013</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2013</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/85217</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">870677869</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">This electronic version was submitted by the student author.  The certified thesis is available in the Institute Archives and Special Collections.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from student-submitted PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 79-81).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Students studying foreign languages often wish to enjoy authentic foreign-language content - for example, foreign-language videos and comics. Existing means of presenting this content, however, are suboptimal from the perspective of language learning. We have developed a pair of tools that aim to help learners acquire the foreign language while enjoying authentic, foreign-language material. One tool is Smart Subtitles, which help learners learn vocabulary while watching videos. Our user evaluations have shown that Smart Subtitles help learners learn vocabulary more effectively than a popular approach for learning from video (dual subtitles). The other tool is a grammar visualization which illustrates the grammatical structure of sentences. This grammar visualization can be embedded into a number of language-learning applications. This includes a foreign-language manga reader we have built, which aims to help learners learn vocabulary, grammar and pronunciation while reading comics and manga. Our study for the grammar visualization shows that it helps monolinguals arrive at more accurate translations if we have an oracle taking the best translation of all, though there was no significant improvement in the average translation quality.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Geza Kovacs.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.Eng.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">92 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <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>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <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">Multimedia for language learning</dim:field>
   <dim:field mdschema="dc" element="type" lang="en_US">Thesis</dim:field>
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   	&lt;Title>Multimedia for language learning&lt;/Title>
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   	&lt;PublicationDate>2013&lt;/PublicationDate>
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        	&lt;DisplayName>Kovács, Géza, M. Eng. Massachusetts Institute of Technology&lt;/DisplayName>
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    &lt;Keyword>Electrical Engineering and Computer Science.&lt;/Keyword>
   	&lt;Abstract>Students studying foreign languages often wish to enjoy authentic foreign-language content - for example, foreign-language videos and comics. Existing means of presenting this content, however, are suboptimal from the perspective of language learning. We have developed a pair of tools that aim to help learners acquire the foreign language while enjoying authentic, foreign-language material. One tool is Smart Subtitles, which help learners learn vocabulary while watching videos. Our user evaluations have shown that Smart Subtitles help learners learn vocabulary more effectively than a popular approach for learning from video (dual subtitles). The other tool is a grammar visualization which illustrates the grammatical structure of sentences. This grammar visualization can be embedded into a number of language-learning applications. This includes a foreign-language manga reader we have built, which aims to help learners learn vocabulary, grammar and pronunciation while reading comics and manga. Our study for the grammar visualization shows that it helps monolinguals arrive at more accurate translations if we have an oracle taking the best translation of all, though there was no significant improvement in the average translation quality.&lt;/Abstract>
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