Colibri Core is software to quickly and efficiently count and extract patterns from large corpus data, to extract various statistics on the extracted patterns, and to compute relations between the extracted patterns.
Colibri Core is an NLP tool as well as a C++ and Python library for working with basic linguistic constructions such as n-grams and skipgrams (i.e patterns with one or more gaps, either of fixed or dynamic size) in a quick and memory-efficient way. At the core is the tool ‘colibri-patternmodeller’ which enables you to build pattern models, generate statistical reports, query for specific patterns and relations, and manipulate models.
Colibri Core is available as a collection of standalone command-line tools, as a C++ library, and as a Python library.
The employed notion of pattern or construction encompasses the following categories:
- n-gram — n consecutive words.
- skipgram — An abstract pattern of predetermined length with one or multiple gaps (of specific size).
- flexgram — An abstract pattern with one or more gaps of variable-size.
Colibri Core provides memory-based techniques where models are held entirely in memory to guarantee maximum performance on lookup and computation.
Colibri Core runs on modern POSIX-compliant operating systems, including Linux, FreeBSD and Mac OS X.
Colibri Core is single-threaded due to the non-distributable nature of most of the algorithms. A 64-bit architecture is required, 32-bit is not supported. The software is released under an open source license.
Website: https://proycon.github.io/colibri-core
Support: GitHub Code Repository
Developer: Maarten van Gompel
License: GNU General Public License v3.0
Colibri Core is written in C++ and Python. Learn C++ with our recommended free books and free tutorials. Learn Python with our recommended free books and free tutorials.
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| Colibri Core | Efficient n-gram & skipgram modelling on text corpora |
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