An evolutionary system for pedagogical lexical analvsis
A system for automatically generating question and answer sessions from text can he useful in pedagogical environments. We have developed a system that uses pattern analysis text decompose text into distinct morphological Levels: paragraphs, sentences and words. Word recognition is carried out throu...
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creator | Thomson, J.J. Gantenbein, R.E. |
description | A system for automatically generating question and answer sessions from text can he useful in pedagogical environments. We have developed a system that uses pattern analysis text decompose text into distinct morphological Levels: paragraphs, sentences and words. Word recognition is carried out throug a neutral based generalization engine that repeatedly processes unknown words through B series of rules until the word is recognized. Experiments on this engine show differences in the effectiveness of this approach for varying neural net structures. |
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Experiments on this engine show differences in the effectiveness of this approach for varying neural net structures.</description><identifier>ISBN: 1889335215</identifier><identifier>ISBN: 9781889335216</identifier><language>eng</language><publisher>IEEE</publisher><subject>Engines ; Natural languages ; Skin ; Writing</subject><ispartof>Proceedings World Automation Congress, 2004, 2004, Vol.17, p.19-24</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1439339$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2051,4035,4036,54899</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1439339$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Thomson, J.J.</creatorcontrib><creatorcontrib>Gantenbein, R.E.</creatorcontrib><title>An evolutionary system for pedagogical lexical analvsis</title><title>Proceedings World Automation Congress, 2004</title><addtitle>WAC</addtitle><description>A system for automatically generating question and answer sessions from text can he useful in pedagogical environments. We have developed a system that uses pattern analysis text decompose text into distinct morphological Levels: paragraphs, sentences and words. Word recognition is carried out throug a neutral based generalization engine that repeatedly processes unknown words through B series of rules until the word is recognized. Experiments on this engine show differences in the effectiveness of this approach for varying neural net structures.</description><subject>Engines</subject><subject>Natural languages</subject><subject>Skin</subject><subject>Writing</subject><isbn>1889335215</isbn><isbn>9781889335216</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2004</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpjZuAytLCwNDY2NTI05WDgLS7OMgACY0tjCyNjTgZzxzyF1LL8nNKSzPy8xKJKheLK4pLUXIW0_CKFgtSUxPT89MzkxByFnNQKMJ2Yl5hTVpxZzMPAmpaYU5zKC6W5GaTdXEOcPXQzU1NT4wuKMnOBhsUbmgDtASL8sgAPXzCo</recordid><startdate>2004</startdate><enddate>2004</enddate><creator>Thomson, J.J.</creator><creator>Gantenbein, R.E.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2004</creationdate><title>An evolutionary system for pedagogical lexical analvsis</title><author>Thomson, J.J. ; Gantenbein, R.E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_14393393</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Engines</topic><topic>Natural languages</topic><topic>Skin</topic><topic>Writing</topic><toplevel>online_resources</toplevel><creatorcontrib>Thomson, J.J.</creatorcontrib><creatorcontrib>Gantenbein, R.E.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Thomson, J.J.</au><au>Gantenbein, R.E.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>An evolutionary system for pedagogical lexical analvsis</atitle><btitle>Proceedings World Automation Congress, 2004</btitle><stitle>WAC</stitle><date>2004</date><risdate>2004</risdate><volume>17</volume><spage>19</spage><epage>24</epage><pages>19-24</pages><isbn>1889335215</isbn><isbn>9781889335216</isbn><abstract>A system for automatically generating question and answer sessions from text can he useful in pedagogical environments. We have developed a system that uses pattern analysis text decompose text into distinct morphological Levels: paragraphs, sentences and words. Word recognition is carried out throug a neutral based generalization engine that repeatedly processes unknown words through B series of rules until the word is recognized. Experiments on this engine show differences in the effectiveness of this approach for varying neural net structures.</abstract><pub>IEEE</pub></addata></record> |
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ispartof | Proceedings World Automation Congress, 2004, 2004, Vol.17, p.19-24 |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Engines Natural languages Skin Writing |
title | An evolutionary system for pedagogical lexical analvsis |
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