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Une collection virtuelle représentant la richesse et variation des ressources linguistiques qui sont disponibles par les centres CLARIN en France, á l'occasion du
Retour sur 10 ans de construction Européenne

For further linguistic analysis

Full text for historical newspapers from The Netherlands via the Europeana newspapers collections

Full text for historical newspapers from Finland via the Europeana newspapers collections

Full text for historical newspapers from Austria via the Europeana newspapers collections

Full text for historical newspapers from Serbia via the Europeana newspapers collections

Full text for historical newspapers from Estonia via the Europeana newspapers collections

This collection contains existing tutorials and guides for the tools and services listed in the Switchboard Tool Inventory. The collection is useful for researchers, teachers and students who are interested in using the Switchboard tools in research, teaching and learning.

Collection of resources that teachers and trainers can use to develop learning content and training activities on data management-related topics.

Lists the main Switchboard publications

Overview

Hyperspectral imaging is a chemical imaging technique based on reflectance spectroscopy (the light reflected by materials). This device makes the collection of reflectance spectra in each point of the field of view for the Near Infrared range (it is complementary to another device for the visible range). The hyperspectral image cube obtained can be considered both as a stack of wavelength-resolved images and as a series of spectra.
The near infrared spectra consist of vibrational overtones and combination absorption features where spectral signatures can allow to identify and map different materials.
This technique is well adapted to characterize organic compounds (binding media, plastic materials…) and some minerals.
Hyperspectral Imaging provides spatially resolved information on the nature of chemical species that can be interesting to locate damages (moisture, chemical transformations…), restorations, pentimenti or underdrawings on/in an artwork.
Hyperspectral imaging is well adapted for flat or slightly embossed artworks (manuscript, drawing, paintings,…)
Near Infrared hyperspectral imaging is a non-invasive, in situ technique that allows to collect data cube in few minutes without any preparation of the artwork.

Technical details

The system consists of an ImSpector N25E imaging spectrograph (Specimcorp, Finland) and a cooled, temperature stabilized MCT detector (9.6 mm detector having 320 (spatial) x 256 (spectral) pixels).The camera operates from 970 to 2500 nm with a spectral resolution of 10 nm. It works as a line scan camera providing full, contiguous spectral data for each pixel.
The cooling system (dual Peltier solution, forced convection coolers) is designed to minimize dark current and ensure high stability in the detector operations in a wide ambient temperature range.
Two objective lenses are available:
A telecentric lens with a focal length of 15 mm (corresponding to a minimal field of view of 20 cm and a maximal resolution of 600 µm)
A macroscopic lens with a 1:1 magnification (corresponding to a field of view of 9.6 mm and a spatial resolution of 30 µm)
The camera is moving along a motorized bar of around 1.6 m, resting on a portal frame structure. The height of the structure is around 2 m. The artwork is illuminated with 6 halogen lamps (three on each side) placed at 45 degrees from the vertical. The current structure is designed to scan artefact laid flat on a tablebut the configuration can possibly be changedto scan artefact in a vertical position.

This virtual collection demonstrates the use of signposts in a virtual collection. It contains all 15 recordings of subject 2608 from the study Bonner Gerontologische Längsschnittstudie (BOLSA). Please note that access to the sound files is restricted.

A high-quality orthographic transcript is the basis for all types of analyses of spoken language data. However, transcribing speech is a time-consuming and tedious task. But automatic speech recognition as well as NLP and text annotation tools can make this task much quicker and save you a lot of time and frustration.

In this first of a series of SSHOC webinars, organised by the consortium partner CLARIN ERIC, we will discuss the theoretical basis and the technology available for transcribing spoken language. In particular, we will focus on the role of automatic speech recognition – what are the opportunities, what are the pitfalls and to where can it be applied successfully.

This virtual collection bundles the Webinar's slides, video recording and event page.