<p>Nopaque is a web application that helps to transform heterogeneous textual source materials into standard-compliant research data. The services of nopaque are designed to accompany the research process.</p>
<p>The web application is developed within the DFG-funded Collaborative Research Center (SFB) 1288 "Practices of Comparison" by the subproject (TP) INF "Data Infrastructure and Digital Humanities".</p>
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<h3>Why you should use nopaque</h3>
<p>Wouldn't it be nice to have a tool that saves you time and trouble so that you can solely focus on your research?<br>
nopaque is a custom-built web application for researchers who want to get out more of their images and texts without having to bother about the technical side of things. You can focus on what really interests you, nopaque does the rest.</p>
<p>nopaque’s container virtualization guarantees high interoperability, reusability and reproducibility of research results. User research processes are carried out in containers created on demand, based on static images with fixed software versions including all dependencies.</p>
<p class="light">You can start right away without having to read mile-long manuals. All services come with default settings that make it easy for you to just get going. Also great, right?</p>
<p class="light">No matter where you step in, nopaque facilitates and accompanies your research. Its workflow perfectly ties in with your research process.</p>
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<h3>What nopaque can do for you</h3>
<p>All services and processes are logically linked and built upon each other. You can follow them step by step or directly choose the one that suits your needs best. And while the process is computed in nopaque’s cloud, you can just keep working.</p>
<p class="light">Digital copies of text based research data (books, letters, etc.) often comprise various files and formats. nopaque converts and merges those files to facilitate further processing and the application of other services.</p>
<p class="light">nopaque converts your image data – like photos or scans – into text data through a process called OCR. This step enables you to proceed with further computational analysis of your documents.</p>
<p class="light">By means of computational linguistic data processing (tokenization, lemmatization, part-of-speech tagging and named-entity recognition) nopaque extracts additional information from your text.</p>
<p class="light">nopaque lets you create and upload as many text corpora as you want. It makes use of CQP Query Language, which allows for complex search requests with the aid of metadata and NLP tags.</p>