Sentence alignment in DPC: maximizing precision, minimizing human effort
A wide spectrum of multilingual applications have aligned parallel corpora as their prerequisite. The aim of the project described in this paper is to build a multilingual corpus where all sentences are aligned at very high precision with a minimal human effort involved. The experiments on a combina...
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creator | Trushkina, Julia Macken, Lieve Paulussen, Hans |
description | A wide spectrum of multilingual applications have aligned parallel corpora as their prerequisite. The aim of the project described in this paper is to build a multilingual corpus where all sentences are aligned at very high precision with a minimal human effort involved. The experiments on a combination of sentence aligners with different underlying algorithms described in this paper showed that by verifying only those links which were not recognized by at least two aligners, an error rate can be reduced by 93.76% as compared to the performance of the best aligner. Such manual involvement concerned only a small portion of all data (6%). This significantly reduces a load of manual work necessary to achieve nearly 100% accuracy of alignment. |
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The aim of the project described in this paper is to build a multilingual corpus where all sentences are aligned at very high precision with a minimal human effort involved. The experiments on a combination of sentence aligners with different underlying algorithms described in this paper showed that by verifying only those links which were not recognized by at least two aligners, an error rate can be reduced by 93.76% as compared to the performance of the best aligner. Such manual involvement concerned only a small portion of all data (6%). This significantly reduces a load of manual work necessary to achieve nearly 100% accuracy of alignment.</description><language>eng</language><publisher>European Language Resources Association (ELRA)</publisher><subject>Languages and Literatures ; Sentence alignment</subject><creationdate>2008</creationdate><rights>No license (in copyright) info:eu-repo/semantics/openAccess</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>309,315,780,4050,27860</link.rule.ids><linktorsrc>$$Uhttp://hdl.handle.net/1854/LU-437761$$EView_record_in_Ghent_University$$FView_record_in_$$GGhent_University$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Trushkina, Julia</creatorcontrib><creatorcontrib>Macken, Lieve</creatorcontrib><creatorcontrib>Paulussen, Hans</creatorcontrib><title>Sentence alignment in DPC: maximizing precision, minimizing human effort</title><description>A wide spectrum of multilingual applications have aligned parallel corpora as their prerequisite. The aim of the project described in this paper is to build a multilingual corpus where all sentences are aligned at very high precision with a minimal human effort involved. The experiments on a combination of sentence aligners with different underlying algorithms described in this paper showed that by verifying only those links which were not recognized by at least two aligners, an error rate can be reduced by 93.76% as compared to the performance of the best aligner. Such manual involvement concerned only a small portion of all data (6%). This significantly reduces a load of manual work necessary to achieve nearly 100% accuracy of alignment.</description><subject>Languages and Literatures</subject><subject>Sentence alignment</subject><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>ADGLB</sourceid><recordid>eNrjZPAITs0rSc1LTlVIzMlMz8sF8hQy8xRcApytFHITKzJzM6sy89IVCopSkzOLM_PzdBRyM_NgohmluYl5CqlpaflFJTwMrGmJOcWpvFCam8HQzTXE2UM3PQNoZnxOZhLQiMSS-PzEzPjEouSMzLLU-NJ0kFRSaryJsbm5maExOXoAwDFDMA</recordid><startdate>2008</startdate><enddate>2008</enddate><creator>Trushkina, Julia</creator><creator>Macken, Lieve</creator><creator>Paulussen, Hans</creator><general>European Language Resources Association (ELRA)</general><scope>ADGLB</scope></search><sort><creationdate>2008</creationdate><title>Sentence alignment in DPC: maximizing precision, minimizing human effort</title><author>Trushkina, Julia ; Macken, Lieve ; Paulussen, Hans</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ghent_librecat_oai_archive_ugent_be_4377613</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Languages and Literatures</topic><topic>Sentence alignment</topic><toplevel>online_resources</toplevel><creatorcontrib>Trushkina, Julia</creatorcontrib><creatorcontrib>Macken, Lieve</creatorcontrib><creatorcontrib>Paulussen, Hans</creatorcontrib><collection>Ghent University Academic Bibliography</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Trushkina, Julia</au><au>Macken, Lieve</au><au>Paulussen, Hans</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Sentence alignment in DPC: maximizing precision, minimizing human effort</atitle><date>2008</date><risdate>2008</risdate><abstract>A wide spectrum of multilingual applications have aligned parallel corpora as their prerequisite. The aim of the project described in this paper is to build a multilingual corpus where all sentences are aligned at very high precision with a minimal human effort involved. The experiments on a combination of sentence aligners with different underlying algorithms described in this paper showed that by verifying only those links which were not recognized by at least two aligners, an error rate can be reduced by 93.76% as compared to the performance of the best aligner. Such manual involvement concerned only a small portion of all data (6%). This significantly reduces a load of manual work necessary to achieve nearly 100% accuracy of alignment.</abstract><pub>European Language Resources Association (ELRA)</pub><oa>free_for_read</oa></addata></record> |
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source | Ghent University Academic Bibliography |
subjects | Languages and Literatures Sentence alignment |
title | Sentence alignment in DPC: maximizing precision, minimizing human effort |
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