Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 108

The DOI matches its Crossref record.

Transkribus - A Service Platform for Transcription, Recognition and Retrieval of Historical Documents

Kahle, Philip, Colutto, Sebastian, Hackl, Gunter, Muhlberger, Gunter·2017·2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)
DOI 10.1109/icdar.2017.307
Open this paper in CoChat — free account

Abstract

Transkribus is a comprehensive platform for the computer-aided transcription, recognition and retrieval of digitized historical documents. The main user interface is provided via an open-source desktop application that incorporates means to segment document images, to add a transcription and to tag entities within. The desktop application is able to connect to the platform's backend, which implements a document management system as well as several tools for document image analysis, such as layout analysis or automatic/handwritten text recognition (ATR/HTR). Access to documents, uploaded to the platform, may be granted to other users in order to collaborate on the transcription and to share results.

Overview

Integrity signals

Registry

Crossref · 10.1109/icdar.2017.307

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 20

  1. 10.1016/j.patcog.2008.12.016 · DOI
  2. 10.1109/ICFHR.2014.84 · DOI
  3. 10.1109/ICDAR.2015.7333819 · DOI
  4. diem, 0, D6 4 Basic Layout Analysis
  5. 10.1007/978-3-319-19390-8_29 · DOI
  6. 10.1109/ICFHR.2014.137 · DOI
  7. gruning, 0, D7 7 HTR Engine Based on NNs P1
  8. dejean, 0, D6 13 Document Understanding Tools P1
  9. mcnicholl, 0, D5 3 e-learning Application
  10. kleber, 0, D6 7 Table and Form Analysis Tool P1
  11. kahle, 0, D4 1 READ Platform and Service Maintenance
  12. 0, READ Project Website
  13. 10.1109/ICPR.2010.72 · DOI
  14. kahle, 0, D4 4 Service and Tool Integration
  15. 0, The Transkribus Organization on Github
  16. 0, Transkribus Wiki
  17. 10.1145/2494266.2494294 · DOI
  18. 0, Transkribus Website
  19. gatos, 0, D3 1 2 Description and Evaluation of Tools for DIA HTR and KWS
  20. pratikakis, 0, D7 13 Keyword Spotting Engines QbE QbS P1

Cited by

Metadata

Authors
Kahle, P., Colutto, S., Hackl, G., & Muhlberger, G.
Venue
2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)
Publisher
IEEE
Published
2017-11
Pages
19-24
DOI
10.1109/icdar.2017.307
Cited by
108
References
0

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.