Unified Corpus Explorer

"The annotation and exploration of large text corpora, both automatic and manual, present significant challenges across multiple disciplines, including linguistics, digital humanities, biology, and legal science. These challenges are exacerbated by the heterogeneity of processing methods, which complicates corpus visualization, interaction, and integration. To address these issues, we introduce the Unified Corpus Explorer (UCE), a standardized, dockerized, open-source, and dynamic Natural Language Processing (NLP) application designed for flexible and scalable corpus navigation. Herein, UCE utilizes the UIMA format for NLP annotations as a standardized input, constructing interfaces and features around those annotations while dynamically adapting to the corpora and their extracted annotations. We evaluate UCE based on a user study and demonstrate its versatility as a corpus explorer based on generative AI." (Boenisch et al., 2025)

The Unified Corpus Explorer was developed by the Text Technology Lab as a means to unify the heterogeneous data landscape of NLP. This is a demonstration of UCE's capabilities, showcased on a variety of corpora, each from a different domain and presenting different challenges.

Corpora

Biodiversität_Nova

TTLab

A biodiversity corpus gathered within the BIOfid project. Contains old biology books, which were scanned and OCR extracted and finally put into UCE.

CORE T0 Webseiten Funkmast

CORE Project

Websites from the Funkmast-Task in T0 as part of the CORE project.

GerParCor_Reichstag

TTLab

Part of the GerParCor corpus, but only the plenary documents of the 'German Reichstag'. Contains all plenary minutes and documents concerning the historic German Reichstag.

Zobodat_with_bert_topics

TTLab

Another biodiversity corpus excerpt, used to showcase the Topic Modelling capabilities of UCE.

NEG-African

TTLab

Containing Negation Samples for the two languages: Akan and Likpakpaanl, being researched by and provided through the NEGLab.

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url

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NER

Embedding

KWIC

Enrich

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Linked-Corpus Map

Analysis

Team

The team behind UCE is part of the Text Technology Lab of the Goethe-University, Frankfurt.