https://youtu.be/3RgRCEa6Smo

This video tutorial shows one of multiple ways how you can use WebLicht. WebLicht is a web application provided by CLARIN-D that allows you to build toolchains for linguistic annotations on different layers like Morphology, Syntax or Named Entity Recognition.

To get started you have to log in via your CLARIN- or any other university affiliation account. After clicking the Start-Button and selecting Easy Mode which supplies you with a pre-defined toolchain, you can either analyze text that you directly type in or copy-paste to the corresponding window, use a sample text provided by WebLicht or upload a text file. Now you can select your preferred layer of annotation and hit run to get a detailed analysis for the selection you have made. It is then possible to download the complete file or parts of it as .csv or .xml.

https://youtu.be/yB090931YdM

COALA is a tool to convert simple text tables into CLARIN Metadata-Files (CMDI) for multimodal corpora. If you want to learn more about CMDI in general we refer to this page. As many other CLARIN tools, COALA is a free web service that can be found on the website of the Bavarian Archive for Speech Signals (BAS). 

To get your CMDI you just have to upload your files, give your corpus a name and a title and hit the green COALA button to convert your files. Within a few seconds you can download your zipped file which contains all the metadata for your corpus.   

What is it?

Percy is a device-independent tool to perform online perception experiments. Researchers can learn something about spoken language via setting up an experiment design where participants listen to audio stimuli and can give their judgment about it afterwards.

For Whom is it?

Percy is a tool that can be used by researchers who want to know something about spoken language but it is also quite interesting for the participants as they can give judgements about the stimuli and manipulate them.  

https://youtu.be/G-TVDx5KQBs

This video tutorial about WebMAUS - the Munich AUtomatic Segmentation explains how you can easily generate a textgrid file that aligns an audio signal to a transcription out of the application. If you want to learn more about WebMAUS in general click here. The procedure to receive the textgrid is quite simple. You just need your text file containing the transcription and your corresponding audio file with spoken language and feed it into the application via drag-and-drop (careful! the files need to have the same name.

https://youtu.be/7lI-gOShtFA

This video tutorial gives a brief introduction to the Munich AUtomatic Segmentation -- or WebMAUS. It is a tool to align speech signals to linguistic categories which makes it, amongst other things, possible to align the audio signal of a video to its transcript. As input, WebMAUS needs a video signal and some kind of a transcription of the spoken text. 

Take 70 international young scholars in the digital humanities (DH), 11 different classes taught by experienced experts, a couple of presentations by scholars showing their work from various DH subfields, add a social program with excursions to museums and sites of culture: Voilà. In the summer 2017, "Culture & Technology" - The European Summer University in Digital Humanities (ESU) was an excellent venue for scholars to learn about and practice DH methods, expand their horizon to different research questions in the DH and create international networks of expertise.

https://youtu.be/Oh7UJi_21l8

The European Summer University in Digital Humanities has brought together Digtal Humanities students and researchers, to discuss different topics and to learn about new methods. CLARIN-D a research infrastructure for the Digital Humanities, wich works with language data, was part of the Summer School.