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Start Over Language Czech Language English Type image Harvested from LINDAT/CLARIAH-CZ repository

1. A Human-Annotated Dataset of Scanned Images and OCR Texts from Medieval Documents

Creator:
Novotný, Vít, Seidlová, Kristýna, Vrabcová, Tereza, and Horák, Aleš
Publisher:
Masaryk University, Brno
Type:
image and corpus
Subject:
ocr, optical character recognition, language identification, image super-resolution, sr, and Medieval
Language:
German, Czech, Latin, and English
Description:
This is an open dataset of scanned images and OCR texts from 19th and 20th century letterpress reprints of documents from the Hussite era. The dataset contains human annotations for layout analysis, OCR evaluation, and language identification.
Rights:
Public Domain Dedication (CC Zero), http://creativecommons.org/publicdomain/zero/1.0/, and PUB

2. Eye-Tracking Recordings from a Pilot Study of WMT-style MT Outputs Ranking

Creator:
Bojar, Ondřej, Děchtěrenko, Filip, and Zelenina, Maria
Publisher:
Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:
image and corpus
Subject:
eye-tracking and MT evaluation
Language:
Czech and English
Description:
This package contains the eye-tracker recordings of 8 subjects evaluating English-to-Czech machine translation quality using the WMT-style ranking of sentences. We provide the set of sentences evaluated, the exact screens presented to the annotators (including bounding box information for every area of interest and even for individual letters in the text) and finally the raw EyeLink II files with gaze trajectories. The description of the experiment can be found in the paper: Ondřej Bojar, Filip Děchtěrenko, Maria Zelenina. A Pilot Eye-Tracking Study of WMT-Style Ranking Evaluation. Proceedings of the LREC 2016 Workshop “Translation Evaluation – From Fragmented Tools and Data Sets to an Integrated Ecosystem”, Georg Rehm, Aljoscha Burchardt et al. (eds.). pp. 20-26. May 2016, Portorož, Slovenia. This work has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement no. 645452 (QT21). This work was partially financially supported by the Government of Russian Federation, Grant 074-U01. This work has been using language resources developed, stored and distributed by the LINDAT/CLARIN project of the Ministry of Education, Youth and Sports of the Czech Republic (project LM2010013).
Rights:
Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0), http://creativecommons.org/licenses/by-sa/4.0/, and PUB