PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).

FoLiA Linguistic Annotation Tool -- Flat is a web-based linguistic annotation environment based around the FoLiA format (http://proycon.github.io/folia), a rich XML-based format for linguistic annotation. Flat allows users to view annotated FoLiA documents and enrich these documents with new annotations, a wide variety of linguistic annotation types is supported through the FoLiA paradigm.

Frog is an integration of memory-based natural language processing (NLP) modules developed for Dutch. All NLP modules are based on Timbl, the Tilburg memory-based learning software package.

LaMachine - A software distribution of our in-house as well as some 3rd party NLP software - Virtual Machine, Docker, or local compilation/installation script

Unicode tokeniser. Ucto tokenizes text files: it separates words from punctuation, and splits sentences. It offers several other basic preprocessing steps such as changing case that you can all use to make your text suited for further processing such as indexing, part-of-speech tagging, or machine translation. Ucto comes with tokenisation rules for several languages and can be easily extended to suit other languages. It has been incorporated for tokenizing Dutch text in Frog, our Dutch morpho-syntactic processor. http://ilk.uvt.nl/ucto --

FoLiA: Format for Linguistic Annotation - FoLiA is a rich XML-based annotation format for the representation of language resources (including corpora) with linguistic annotations. A wide variety of linguistic annotations are supported, making FoLiA a useful format for NLP tasks and data interchange. Note that the actual Python library for processing FoLiA is implemented as part of PyNLPl, this contains higher-level tools that use the library as well as the full documentation, validation schemas, and set definitions

A set of workflows for corpus building through OCR, post-correction and normalisation

This is a Python binding to the tokenizer Ucto. Tokenisation is one of the first step in almost any Natural Language Processing task, yet it is not always as trivial a task as it appears to be. This binding makes the power of the ucto tokeniser available to Python. Ucto itself is regular-expression based, extensible, and advanced tokeniser written in C++ (http://ilk.uvt.nl/ucto).

FoLiA library for C++

An extensive Python library for dealing with FoLiA (Format for Linguistic Annotation) documents, a rich XML-based format for linguistic annotation finding application in Natural Language Processing (NLP). This library was formerly part of PyNLPl.

An NLP-suite powered by deep learning

A number of command-line tools for working with FoLiA (Format for Linguistic Annotation). Includes validators, converters, visualisers, and more.

FoLiA Document Server - HTTP webservice backend for serving and annotating FoLiA documents using the FoLiA Query Language (FQL). Used by FLAT.

FoLiA library for rust (alpha)

A digital edition and semi-diplomatic transcription of manuscript V, Verona, XXVIII(26): the oldest surviving manuscript of Augustine's De Civitate Dei.

Command-line utilities for working with the Format for Linguistic Annotation (FoLiA), powered by libfolia (C++), written by Ko van der Sloot (CLST, Radboud University)