Results 101 to 110 of about 471 (152)

Enhancing Transformer-Based Language Models for Hungarian Handwritten Text Recognition. [PDF]

F1000Res
Al-Hitawi MAS, Gyöngyössy NM.
europepmc   +1 more source

Demystifying the Role of Natural Language Processing (NLP) in Smart City Applications: Background, Motivation, Recent Advances, and Future Research Directions. [PDF]

Wirel Pers Commun, 2023
Tyagi N, Bhushan B.
europepmc   +1 more source

Best Practices for a Handwritten Text Recognition System [PDF]

Handwritten text recognition has been developed rapidly in the recent years, following the rise of deep learning and its applications. Though deep learning methods provide notable boost in performance concerning text recognition, non-trivial deviation in
Gatos, Basilis, Retsinas, George, Nikou, Christophoros, Sfikas, Giorgos   +3 more
core   +1 more source

Machine Learning-Based Data Extraction Tools in Healthcare: A Systematic Review. [PDF]

Cureus
Khalpey Z, Rorvig M, Khalpey ZI, Kumar U, Khaliel FH, King N.   +5 more
europepmc   +1 more source

Muharaf: Manuscripts of Handwritten Arabic Dataset for Cursive Text Recognition [PDF]

We present the Manuscripts of Handwritten Arabic~(Muharaf) dataset, which is a machine learning dataset consisting of more than 1,600 historic handwritten page images transcribed by experts in archival Arabic.
Chan, Adrian, Habchi, Georges, Khater, Akram, Mijar, Anupam, Moukarzel, Joseph, Wong, Chau-Wai, Saeed, Mehreen, Younes, Carlos, Elias, Amin   +8 more
core   +1 more source

Hespi: a pipeline for automatically detecting information from herbarium specimen sheets. [PDF]

Bioscience
Turnbull R, Fitzgerald E, Thompson KM, Birch JL.   +3 more
europepmc   +1 more source

The artificial intelligence cooperative: READ-COOP, Transkribus, and the benefits of shared community infrastructure for automated text recognition. [PDF]

Open Res Eur
Terras M, Anzinger B, Gooding P, Mühlberger G, Prien M, Nockels J, Romein CA, Stauder A, Stauder F.   +8 more
europepmc   +1 more source

One Step Is Not Enough: A Multi-Step Procedure for Building the Training Set of a Query by String Keyword Spotting System to Assist the Transcription of Historical Document. [PDF]

J Imaging, 2020
Parziale A, Capriolo G, Marcelli A.
europepmc   +1 more source

Nuremberg Letterbooks: A Multi-Transcriptional Dataset of Early 15th Century Manuscripts for Document Analysis. [PDF]

Sci Data
Mayr M, Krenz J, Neumeier K, Bub A, Bürcky S, Brolich N, Herbers K, Habermann M, Fleischmann P, Maier A, Christlein V.   +10 more
europepmc   +1 more source

Leveraging OCR and HTR cloud services towards data mobilisation of historical plant names. [PDF]

Int J Digit Humanit
Sadek J, Vlachidis A, Pickering V, Humbel M, Metilli D, Carine M, Nyhan J.   +6 more
europepmc   +1 more source