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• W2149816711 abstract "Word alignment is an important preprocessing step for machine translation. The project aims at incorporating manual alignments from Amazon Mechanical Turk (MTurk) to help improve word alignment quality. As a global crowdsourcing service, MTurk can provide flexible and abundant labor force and there-fore reduce the cost of obtaining labels. An easy-to-use interface is developed to simplify the labeling process. We compare the alignment results by Turkers to that by experts, and incorporate the alignments in a semi-supervised word alignment tool to improve the quality of the labels. We also compared two pricing strategies for word alignment task. Experimental results show high precision of the alignments provided by Turkers and the semi-supervised approach achieved 0.5% absolute reduction on alignment error rate." @default.
• W2149816711 created "2016-06-24" @default.
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• W2149816711 date "2010-06-06" @default.
• W2149816711 modified "2023-09-24" @default.
• W2149816711 title "Consensus versus expertise: a case study of word alignment with Mechanical Turk" @default.
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