Results 11 to 20 of about 134 (124)
Integrated interdisciplinary workflows for research on historical newspapers: Perspectives from humanities scholars, computer scientists, and librarians. [PDF]
Abstract This article considers the interdisciplinary opportunities and challenges of working with digital cultural heritage, such as digitized historical newspapers, and proposes an integrated digital hermeneutics workflow to combine purely disciplinary research approaches from computer science, humanities, and library work.
Oberbichler S +7 more
europepmc +2 more sources
Ensemble automated approaches for producing high-quality herbarium digital records. [PDF]
Abstract Premise One of the slowest steps in digitizing natural history collections is converting labels associated with specimens into a digital data record usable for collections management and research. Here, we address how herbarium specimen labels can be converted into digital data records via extraction into standardized Darwin Core fields ...
Guralnick RP +3 more
europepmc +2 more sources
In March 2020, the first Workshop on Sea Level Data Archaeology was held to promote this field; this article aims at reviewing the work of sea level data rescue in these various aspects (archive centres investigation, inventory, scanning, digitization tools, archiving, valorization, etc.).
Alexa Latapy +8 more
wiley +1 more source
Abstract The past decade has seen tremendous growth and innovation in the use of digital resources, methods, and tools in the history of art and architecture. While digital art history is less developed than text‐based disciplines, the emergence of new digital standards for visual and spatial data, and advances in computer vision are poised to ...
Alexander Brey
wiley +1 more source
Preparing Big Manuscript Data for Hierarchical Clustering with Minimal HTR Training [PDF]
HTR (Handwritten Text Recognition) technologies have progressed enough to offer high-accuracy results in recognising handwritten documents, even on a synchronous level.
Elpida Perdiki
doaj +1 more source
Handwritten Text Recognition for Documentary Medieval Manuscripts [PDF]
Handwritten Text Recognition (HTR) techniques aim to accurately recognize sequences of characters in input manuscript images by training artificial intelligence models to capture historical writing features.
Sergio Torres Aguilar, Vincent Jolivet
doaj +1 more source
Context Conditioning via Surrounding Predictions for Non-Recurrent CTC Models
Connectionist Temporal Classification (CTC) loss has become widely used in sequence modeling tasks such as Automatic Speech Recognition (ASR) and Handwritten Text Recognition (HTR) due to its ease of use.
Burin Naowarat +2 more
doaj +1 more source
Generic HTR Models for Medieval Manuscripts. The CREMMALab Project [PDF]
In the Humanities, the emergence of digital methods has opened up research questions to quantitative analysis. This is why HTR technology is increasingly involved in humanities research projects following precursors such as the Himanis project.
Ariane Pinche
doaj +1 more source
Handwritten Text Recognition and Linguistic Research
This paper presents ongoing work with automatic transcription of handwritten, phonetically precise dialect texts from the south-west of Sweden (collected in the 1890s).
Erik Magnusson Petzell
doaj +1 more source
Towards the Corpus of Latvian Romani Texts
Latvian Romani is a Northeastern Romani dialect with a limited number of publicly available sources. Two large archival collections of texts in Latvian Romani, compiled primarily in the 1930s in Latvia and Estonia, have been recently digitized as ...
Natalia Perkova, Kirill Kozhanov
doaj +1 more source

