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@KorAP

KorAP

Corpus Analysis Platform by the Leibniz Institute for the German Language

KorAP is a corpus analysis platform that is suitable for very large, multiply annotated corpora and complex search queries, independent of specific research questions.

The main instance of KorAP serves the German Reference Corpus DeReKo.

The platform consists of several components, which are published as separate repositories. It is mainly developed at the Leibniz Institute for German Language.

Run and test KorAP locally

Running your own KorAP is super easy. Just copy and paste this line:

curl https://raw.githubusercontent.com/KorAP/KorAP-Docker/master/compose.yaml | COMPOSE_PROFILES="example" INDEX='example-index' docker compose -p korap up

This will download the necessary images, start KorAP, and make the web UI available at http://localhost:64543/.

Prerequisite: docker (including the docker-compose-v2-plugin)

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  1. KorAP-IngestionKorAP-IngestionPublic

    Convert TEI XML files to KorAP XML, annotate them with TreeTagger, Marmot, Malt, Spacy, CoreNLP, OpenNLP, index them and starts a KorAP instance – by just typing `make`.

    Makefile

  2. KorAP-DockerKorAP-DockerPublic

    🐋 Single Command Installation for KorAP

    2 2

  3. RKorAPClientRKorAPClientPublic

    📈 R client package to access KorAP's web service API.

    R 10 4

  4. PythonKorAPClientPythonKorAPClientPublic

    🐍 Python client package to access KorAP's web service API.

    Python 7

  5. KrillKrillPublic

    🔍 A Corpus Data Retrieval Index using Lucene for Look-Ups

    Java 20 2

  6. KoralKoralPublic

    📝 Translation of query languages to serialized KoralQuery protocol

    Java 15 3

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