Getting expert quality from the crowd for machine translation evaluation

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Date: 2011-10-27 11:41:21 Crowdsourcing Social information processing Natural language processing Computing Semantics Amazon Mechanical Turk CrowdFlower Usability Evaluation of machine translation Computational linguistics Science Linguistics		Getting expert quality from the crowd for machine translation evaluation Add to Reading List Source URL: www.mt-archive.info Download Document from Source Website File Size: 336,44 KB Share Document on Facebook

	Human-powered Sorts and Joins Adam Marcus Eugene Wu David Karger Samuel Madden Robert Miller MIT CSAIL {marcua,sirrice,karger,madden,rcm}@csail.mit.edu ABSTRACT Crowdsourcing markets like Amazon’s Mechanical Turk (MTur DocID: 1uqci - View Document
	C ONTRIBUTED RESEARCH ARTICLE 1 Crowdsourced Data Preprocessing with R and Amazon Mechanical Turk DocID: 1t5wg - View Document
	SPECIAL ISSUE: ICT AND SOCIETAL CHALLENGES THE DUALITY OF EMPOWERMENT AND MARGINALIZATION IN MICROTASK CROWDSOURCING: GIVING VOICE TO THE LESS POWERFUL THROUGH VALUE SENSITIVE DESIGN Xuefei (Nancy) Deng DocID: 1rrqM - View Document
	Harnessing the Power of Mechanical Turk: an Online Workforce 1 MAHMOUD EL-HAJ What is Mechanical Turk (MTurk) DocID: 1rnjA - View Document
	How to Publish HITs on Amazon Mechanical Turk Jianxiong Xiao Abstract: This is a practical introduction to teach how to use Amazon Mechanical Turk, using the diversity experiments in my NIPS 2013 paper "Learning Deep Fea DocID: 1rg3k - View Document