Word Translation Disambiguation Using Multinomial Classifiers
This work focuses on a hybrid machine translation system from Spanish into Catalan called SisHiTra. In particular, we focus on its word translation disambiguation module, which has to decide on the correct translation of each ambiguous input word in accordance with its context. We propose the use of...
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| creator | Andrés, Jesús Navarro, José R. Juan, Alfons Casacuberta, Francisco |
| description | This work focuses on a hybrid machine translation system from Spanish into Catalan called SisHiTra. In particular, we focus on its word translation disambiguation module, which has to decide on the correct translation of each ambiguous input word in accordance with its context. We propose the use of statistical pattern recognition techniques for this task and, in particular, multinomial Naive Bayes text classifiers. Extensive empirical results on the use of these classifiers are presented, in which the influence of the window (context) size and parameter smoothing are carefully studied. |
| doi_str_mv | 10.1007/11492542_76 |
| format | Conference Proceeding |
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In particular, we focus on its word translation disambiguation module, which has to decide on the correct translation of each ambiguous input word in accordance with its context. We propose the use of statistical pattern recognition techniques for this task and, in particular, multinomial Naive Bayes text classifiers. Extensive empirical results on the use of these classifiers are presented, in which the influence of the window (context) size and parameter smoothing are carefully studied.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 9783540261544</identifier><identifier>ISBN: 3540261540</identifier><identifier>ISBN: 9783540261537</identifier><identifier>ISBN: 3540261532</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 9783540322382</identifier><identifier>EISBN: 3540322388</identifier><identifier>DOI: 10.1007/11492542_76</identifier><language>eng</language><publisher>Berlin, Heidelberg: Springer Berlin Heidelberg</publisher><subject>Ambiguous Word ; Applied sciences ; Artificial intelligence ; Computer science; control theory; systems ; Exact sciences and technology ; Machine Translation ; Pattern recognition. Digital image processing. Computational geometry ; Smoothing Technique ; Statistical Machine Translation ; Window Size</subject><ispartof>Lecture notes in computer science, 2005, p.622-629</ispartof><rights>Springer-Verlag Berlin Heidelberg 2005</rights><rights>2005 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/11492542_76$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/11492542_76$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>310,311,780,781,785,790,791,794,4051,4052,27930,38260,41447,42516</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=16895665$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><contributor>Pina, Pedro</contributor><contributor>Pérez de la Blanca, Nicolás</contributor><contributor>Marques, Jorge S.</contributor><creatorcontrib>Andrés, Jesús</creatorcontrib><creatorcontrib>Navarro, José R.</creatorcontrib><creatorcontrib>Juan, Alfons</creatorcontrib><creatorcontrib>Casacuberta, Francisco</creatorcontrib><title>Word Translation Disambiguation Using Multinomial Classifiers</title><title>Lecture notes in computer science</title><description>This work focuses on a hybrid machine translation system from Spanish into Catalan called SisHiTra. In particular, we focus on its word translation disambiguation module, which has to decide on the correct translation of each ambiguous input word in accordance with its context. We propose the use of statistical pattern recognition techniques for this task and, in particular, multinomial Naive Bayes text classifiers. Extensive empirical results on the use of these classifiers are presented, in which the influence of the window (context) size and parameter smoothing are carefully studied.</description><subject>Ambiguous Word</subject><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Exact sciences and technology</subject><subject>Machine Translation</subject><subject>Pattern recognition. Digital image processing. Computational geometry</subject><subject>Smoothing Technique</subject><subject>Statistical Machine Translation</subject><subject>Window Size</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>9783540261544</isbn><isbn>3540261540</isbn><isbn>9783540261537</isbn><isbn>3540261532</isbn><isbn>9783540322382</isbn><isbn>3540322388</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNpNkDlPw0AUhJdLwoRU_AE3FBSGffv2LChQOKUgmkSUq10f0YJjR35Jwb_HKAhRjUbzaTQaxi6AXwPn5gZAOqGk8EYfsKkzFpXkKARaccgy0AAFonRHf5nQoKQ8ZhlHLgpnJJ6yM6IPzrkwTmTs9r0fqnwxhI7asE19l98nCuuYVru9XVLqVvnrrt2mrl-n0OazNhClJtUDnbOTJrRUT391wpaPD4vZczF_e3qZ3c2LjQC3LSqLVYnjhCg11qEqZQVacTCNjlGEGi1YCU42AVVEEy0XoJRzIUZeKVnjhF3uezeBytA249wykd8MaR2GLw_aOqW1GrmrPUdj1K3qwce-_yQP3P_85__9h9-s51x4</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Andrés, Jesús</creator><creator>Navarro, José R.</creator><creator>Juan, Alfons</creator><creator>Casacuberta, Francisco</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>IQODW</scope></search><sort><creationdate>2005</creationdate><title>Word Translation Disambiguation Using Multinomial Classifiers</title><author>Andrés, Jesús ; Navarro, José R. ; Juan, Alfons ; Casacuberta, Francisco</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p219t-d83dc3030b463eadc4d165017f6bb2ae38184194fa35b37b80215599abb0d54e3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Ambiguous Word</topic><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Computer science; control theory; systems</topic><topic>Exact sciences and technology</topic><topic>Machine Translation</topic><topic>Pattern recognition. Digital image processing. Computational geometry</topic><topic>Smoothing Technique</topic><topic>Statistical Machine Translation</topic><topic>Window Size</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Andrés, Jesús</creatorcontrib><creatorcontrib>Navarro, José R.</creatorcontrib><creatorcontrib>Juan, Alfons</creatorcontrib><creatorcontrib>Casacuberta, Francisco</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Andrés, Jesús</au><au>Navarro, José R.</au><au>Juan, Alfons</au><au>Casacuberta, Francisco</au><au>Pina, Pedro</au><au>Pérez de la Blanca, Nicolás</au><au>Marques, Jorge S.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Word Translation Disambiguation Using Multinomial Classifiers</atitle><btitle>Lecture notes in computer science</btitle><date>2005</date><risdate>2005</risdate><spage>622</spage><epage>629</epage><pages>622-629</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>9783540261544</isbn><isbn>3540261540</isbn><isbn>9783540261537</isbn><isbn>3540261532</isbn><eisbn>9783540322382</eisbn><eisbn>3540322388</eisbn><abstract>This work focuses on a hybrid machine translation system from Spanish into Catalan called SisHiTra. In particular, we focus on its word translation disambiguation module, which has to decide on the correct translation of each ambiguous input word in accordance with its context. We propose the use of statistical pattern recognition techniques for this task and, in particular, multinomial Naive Bayes text classifiers. Extensive empirical results on the use of these classifiers are presented, in which the influence of the window (context) size and parameter smoothing are carefully studied.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/11492542_76</doi><tpages>8</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Lecture notes in computer science, 2005, p.622-629 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_16895665 |
| source | Springer Books |
| subjects | Ambiguous Word Applied sciences Artificial intelligence Computer science control theory systems Exact sciences and technology Machine Translation Pattern recognition. Digital image processing. Computational geometry Smoothing Technique Statistical Machine Translation Window Size |
| title | Word Translation Disambiguation Using Multinomial Classifiers |
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