Document image collection using Amazon's Mechanical Turk

Authors:
Audrey Le;Jerome Ajot;Mark Przybocki;Stephanie Strassel
Affiliations:
National Institute of Standards and Technology, Gaithersburg, MD;National Institute of Standards and Technology, Gaithersburg, MD;National Institute of Standards and Technology, Gaithersburg, MD;Linguistic Data Consortium, Philadelphia, PA
Venue:
CSLDAMT '10 Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk
Year:
2010

Citing 1
Cited 2

Fast, cheap, and creative: evaluating translation quality using Amazon's Mechanical Turk

EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1

Creating speech and language data with Amazon's Mechanical Turk

CSLDAMT '10 Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk
Perspectives on crowdsourcing annotations for natural language processing

Language Resources and Evaluation

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present findings from a collaborative effort aimed at testing the feasibility of using Amazon's Mechanical Turk as a data collection platform to build a corpus of document images. Experimental design and implementation workflow are described. Preliminary findings and directions for future work are also discussed.