Multimodality, interactivity, and crowdsourcing for document transcription-Reference-Cited by-同舟云学术

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Multimodality, interactivity, and crowdsourcing for document transcription

Published:2018-03-09 Issue:2 Volume:34 Page:398-419
ISSN:0824-7935
Container-title:Computational Intelligence
language:en
Short-container-title:Computational Intelligence

Author:

Granell Emilio¹^ORCID,Romero Verónica¹,Martínez-Hinarejos Carlos D.¹

Affiliation:

1. Pattern Recognition and Human Language Technology Research Center; Universitat Politècnica de València; València Spain

Funder

projects READ

(European Union's H2020)

SmartWays

Ministerio de Economía y Competitividad

CoMUN-HaT

(MINECO / FEDER)

Publisher

Wiley

Subject

Artificial Intelligence,Computational Mathematics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/coin.12169/fullpdf

Reference45 articles.

1. Optical character recognition-a survey;Impedovo;Int J Pattern Recognit Artif Intell,1991

2. National Library of the Netherlands. 2010 IMPACT: Improving Access to Text 2017

3. tranScriptorium Project. 2013 tranScriptorium http://transcriptorium.eu/ 2017

4. READ Project. 2016. READ, Recognition and Enrichment of Archival Documents 2017 https://read.transkribus.eu/

5. On-line and off-line handwriting recognition: a comprehensive survey;Plamondon;IEEE Trans Pattern Anal Mach Intell,2000

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2. A video indexing and retrieval computational prototype based on transcribed speech;Multimedia Tools and Applications;2021-08-30

3. Classification of acoustical signals by combining active learning strategies with semi-supervised learning schemes;Neural Computing and Applications;2021-02-05

4. A Modular and Automated Annotation Platform for Handwritings: Evaluation on Under-Resourced Languages;Document Analysis and Recognition – ICDAR 2021;2021

5. Using keyword spotting systems as tools for the transcription of historical handwritten documents: Models and procedures for performance evaluation;Pattern Recognition Letters;2020-03

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