Abstract
The Georg Eckert Institute conducts applied, interdisciplinary research into textbooks and educational media, owning an important digitalized document corpus. Current Digital Libraries technologies don’t allow its researchers to fully exploit the potential offered by Natural Language Processing technologies, thus a new platform, based on open source solution, has been realized with the aim to offer a set of tools to the researchers, allowing them to adapt the research process to the single case without predefining a workflow. The system offers functionalities that allow text digitalization, OCR, language recognition, digital libraries management, topic modelling, word counting, text enrichment and specific reporting elements, all in a flexible and high scalable architecture.
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Notes
- 1.
Sketch Engine Homepage. https://www.sketchengine.eu/.
- 2.
NoSketch engine: https://nlp.fi.muni.cz/trac/noske.
- 3.
CWB Corpus Workbench homepage: http://cwb.sourceforge.net/.
- 4.
CWB/CQPweb: http://cwb.sourceforge.net/cqpweb.php.
- 5.
Corpus WorkBench: http://www.ims.unistuttgart.de/forschung/projekte/CorpusWorkbench.html.
- 6.
Clarin-CMDI: http://www.clarin.eu.
- 7.
Apache Tomcat: http://tomcat.apache.org/.
- 8.
Java Server Faces: https://www.oracle.com/technetwork/java/javaee/javaserverfaces-139869.html.
- 9.
Primefaces homepage: https://www.primefaces.org/.
- 10.
Solr homepage: http://lucene.apache.org/solr/.
- 11.
Tesseract homepage: https://github.com/tesseract-ocr/tesseract.
- 12.
Apache TIKA: https://tika.apache.org/.
- 13.
Stanford CoreNLP: https://stanfordnlp.github.io/CoreNLP/.
- 14.
Apache OpenNLP: https://opennlp.apache.org/.
- 15.
VIVO homepage: https://duraspace.org/vivo/.
- 16.
Mallet homepage: http://mallet.cs.umass.edu/classification.php.
- 17.
- 18.
Apache Hadoop homepage: https://hadoop.apache.org/.
- 19.
MongoDB homepage: https://www.mongodb.com/.
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De Luca, E.W., Fallucchi, F., Ligi, A., Tarquini, M. (2019). A Research Toolbox: A Complete Suite for Analysis in Digital Humanities. In: Garoufallou, E., Fallucchi, F., William De Luca, E. (eds) Metadata and Semantic Research. MTSR 2019. Communications in Computer and Information Science, vol 1057. Springer, Cham. https://doi.org/10.1007/978-3-030-36599-8_35
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