C4.5: programs for machine learning
C4.5: programs for machine learning
Communications of the ACM
Interactive Timeline Viewer (ItLv): A Tool to Visualize Variants Among Documents
Visual Interfaces to Digital Libraries [JCDL 2002 Workshop]
ECDL '02 Proceedings of the 6th European Conference on Research and Advanced Technology for Digital Libraries
Proceedings of the 3rd ACM/IEEE-CS joint conference on Digital libraries
A General System for the Retrieval of Document Images from Digital Libraries
DIAL '04 Proceedings of the First International Workshop on Document Image Analysis for Libraries (DIAL'04)
Automatic Indexing and Reformulation of Ancient Dictionaries
DIAL '04 Proceedings of the First International Workshop on Document Image Analysis for Libraries (DIAL'04)
The Bible and multilingual optical character recognition
Communications of the ACM - 3d hard copy
Finding a catalog: generating analytical catalog records from well-structured digital texts
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
Extending the text: digital editions and the hypertextual paradigm
Proceedings of the sixteenth ACM conference on Hypertext and hypermedia
Natural Language Engineering
Textual indexation of ancient documents
Proceedings of the 2005 ACM symposium on Document engineering
An Old Greek Handwritten OCR System
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Hybrid OCR combination approach complemented by a specialized ICR applied on ancient documents
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
A novel user interface for online literary documents
OZCHI '05 Proceedings of the 17th Australia conference on Computer-Human Interaction: Citizens Online: Considerations for Today and the Future
Sentence alignment for monolingual comparable corpora
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
A hierarchical, HMM-based automatic evaluation of OCR accuracy for a digital library of books
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Beyond digital incunabula: modeling the next generation of digital libraries
ECDL'06 Proceedings of the 10th European conference on Research and Advanced Technology for Digital Libraries
Integrating diverse research in a digital library focused on a single author
ECDL'05 Proceedings of the 9th European conference on Research and Advanced Technology for Digital Libraries
A semi-automatic adaptive OCR for digital libraries
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
Identifying Quotations in Reference Works and Primary Materials
ECDL '08 Proceedings of the 12th European conference on Research and Advanced Technology for Digital Libraries
Improving OCR accuracy for classical critical editions
ECDL'09 Proceedings of the 13th European conference on Research and advanced technology for digital libraries
Partial duplicate detection for large book collections
Proceedings of the 20th ACM international conference on Information and knowledge management
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While digital libraries based on page images and automatically generated text have made possible massive projects such as the Million Book Library, Open Content Alliance, Google, and others, humanists still depend upon textual corpora expensively produced with labor-intensive methods such as double-keyboarding and manual correction. This paper reports the results from an analysis of OCR-generated text for classical Greek source texts. Classicists have depended upon specialized manual keyboarding that costs two or more times as much as keyboarding of English both for accuracy and because classical Greek OCR produced no usable results. We found that we could produce texts by OCR that, in some cases, approached the 99.95% professional data entry accuracy rate. In most cases, OCR-generated text yielded results that, by including the variant readings that digital corpora traditionally have left out, provide better recall and, we argue, can better serve many scholarly needs than the expensive corpora upon which classicists have relied for a generation. As digital collections expand, we will be able to collate multiple editions against each other, identify quotations of primary sources, and provide a new generation of services.