Skip to ContentSkip to Navigation
About us Latest news News News articles

NWO grant for designing pattern-recognition algorithm

29 January 2014

Prof. Lambert Schomaker (ALICE institute) obtained a NWO grant of EUR 400,000 in the 'Digging into Data' round with a joint proposal by McGill University (Montreal), Stanford University (USA) and Ecole de technologie supérieure (Montréal). ALICE’s task in this project is the design of pattern-recognition algorithms for the induction of semantic concepts from historical document images.

Apart from text itself, there is a wealth of visual information available on each of the scans: author markings, illuminated capitals, schematic drawings, special symbols and glyphs that can give an insight into the underlying meaning and provenance of a piece of text. Data mining allows for tracing 'visual memes' over networks of authors. In this project ALICE will apply and extend the knowledge that has been developed in the Monk system for googling in large historical manuscript image collections.

NWO granted 6 projects in total in the 'Digging into Data' round.

More information:

Project website

Prof. L.R.B. Schomaker

Drawings and diagrams in historical documents are usually related to the surrounding words. This text is about bubbles, 'bullae'. There is a relation between that word and the round shape of the diagram. There are other related words such as 'forma circulari' (see manually annotated version on the right).
Drawings and diagrams in historical documents are usually related to the surrounding words. This text is about bubbles, 'bullae'. There is a relation between that word and the round shape of the diagram. There are other related words such as 'forma circulari' (see manually annotated version on the right).
Modern methods of pattern recognition and machine learning allow to relate the visual and textual elements. (Example from letter by Gisbert Cuper (1674), Royal Library (The Hague), ms. 72 C 18, f. 20 recto, courtesy of dr. Jetze Touber).
Modern methods of pattern recognition and machine learning allow to relate the visual and textual elements. (Example from letter by Gisbert Cuper (1674), Royal Library (The Hague), ms. 72 C 18, f. 20 recto, courtesy of dr. Jetze Touber).
Last modified:27 May 2021 1.32 p.m.

More news

  • 22 May 2024

    Raffaella Carloni and Jonas Göbel winners Ben Feringa Impact Award 2024

    Raffaella Carloni and Jonas Göbel received the Ben Feringa Impact Awards 2024 for the categories of researchers and students on Tuesday 21 May.

  • 13 May 2024

    ‘The colourful cells of petals never get boring!’

    Most people will enjoy colours in nature. However, the interest of evolutionary biologist Casper van der Kooi goes much further: he studies how flowers, birds, butterflies, and beetles get their colours. He also studies how these colours are used...

  • 13 May 2024

    Trapping molecules

    In his laboratory, physicist Steven Hoekstra is building an experimental set-up made of two parts: one that produces barium fluoride molecules, and a second part that traps the molecules and brings them to an almost complete standstill so they can...