A Corpusdata Retrieval Index using Lucene for Look-Ups
Krill is a Lucene based search engine for large annotated corpora.
The software is in its early stages and not stable yet - use on your own risk!
Krill is the reference implementation for KoralQuery, covering most of the protocols features, including ...
Fulltext search
"Find all occurrences of the phrase 'sea monster'!"
"Find all case-insensitive words matching the regular expression /krak.*/"
Token-based annotation search
"Find all plural nouns in accusative!"
Span-based annotation search
"Find all nominal phrases!"
Distance search
...
Positional search
...
Nested queries
...
and many more ...
Multiple annotation resources; Virtual Collections; Partial highlightings; Support for overlapping spans; Relational queries; Hierarchical queries ...
At least Java 7, Git, Maven. Further dependencies are resolved using Maven.
To fetch the latest version of Krill ...
$ git clone https://github.com/KorAP/Krill $ cd Krill
To run the test suite ...
$ mvn clean test
To start the server ...
$ mvn compile exec:java
Krill operates on tokens and is limited to a single tokenization stream. Token annotations therefore have to rely on that tokenization, span annotations have to wrap at least one token. Punctuations are currently not supported. The order of results is currently bound to the order of documents in the index, but this is likely to change.
Authors: Nils Diewald, Eliza Margaretha
Copyright (c) 2013-2015, IDS Mannheim, Germany
Krill is developed as part of the KorAP Corpus Analysis Platform at the Institute for German Language (IDS), funded by the Leibniz-Gemeinschaft and supported by the KobRA project, funded by the Federal Ministry of Education and Research (BMBF).
For recent changes and compatibility issues, please consult the Changes file.
Krill is published under the BSD-2 License. The Eclipse format style is based on the default style in Eclipse, licensed under the Eclipse Public License. Parts of the test corpus by courtesy of the DeReKo project.
To cite this work, please refer to:
Bański, Piotr, Joachim Bingel, Nils Diewald, Elena Frick, Michael Hanl, Marc Kupietz, Piotr Pęzik, Carsten Schnober, and Andreas Witt (2013): KorAP: the new corpus analysis platform at IDS Mannheim. In: Z. Vetulani and H. Uszkoreit (eds): Human Language Technologies as a Challenge for Computer Science and Linguistics. Proceedings of the 6th Language and Technology Conference. Poznań: Fundacja Uniwersytetu im. A. Mickiewicza.
Contributions to Krill are very welcome! Before contributing, please reformat your code changes according to the KorAP style guideline, provided by means of an Eclipse style sheet. You can either reformat using Eclipse or (recommended) using Maven with the command
$ mvn java-formatter:format
Named entities annotated in the test data by CoreNLP were using models based on:
Manaal Faruqui and Sebastian Padó (2010): Training and Evaluating a German Named Entity Recognizer with Semantic Generalization, Proceedings of KONVENS 2010, Saarbrücken, Germany