CLARIN-NL - text/folia+xml

Syntax

Tool task

tokenisation

Country

Netherlands

Input Language

Dutch

Swedish

Russian

Spanish

Portuguese

English

German

French

Italian

Version

v0.13

Access Contact

Project Contact

/mailto:/

Creator Contact

Maarten van Gompel, Ko van der Sloot and Antal van den Bosch. 2017. Ucto: Unicode Tokenizer. version 0.9.6. Reference Guide. Technical Report, Jan 23, 2017.

Ko van der Sloot

Documentation

Maarten van Gompel, Ko van der Sloot, Antal van den Bosch (2012). Ucto: Unicode Tokeniser. Reference Guide. ILK Technical Report 12-05.

readme

releaseNotes

issueTracker

contIntegration

Source code

https://github.com/LanguageMachines/ucto

Resource

CMDI File Link

License

GNU GPL

Inventory Scope

local

Ucto Engine

root — Mon, 08 Apr 2019 08:38:55 +0000

https://raw.githubusercontent.com/LanguageMachines/ucto/master/logo.svg

Title

Ucto Tokeniser Engine

Description

The Ucto tokenisation engine is a language-independent engine that, given an external configuration file with tokenisation rules for a specifc language ,yields a tokenizer for that language that tokenizes text files: it separates words from punctuation, and splits sentences. This is one of the first tasks for almost any Natural Language Processing application. Ucto 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. The tokeniser engine is language independent. By supplying language-specific tokenisation rules in an external configuration file a tokeniser can be created for a specific language. Ucto comes with tokenization rules for English, Dutch, French, Italian, and Swedish; it is easily extensible to other languages. It recognizes dates, times, units, currencies, abbreviations. It recognizes paired quote spans, sentences, and paragraphs. It produces UTF8 encoding and NFC output normalization, optionally accepts other encodings as input. Optional conversion to all lowercase or uppercase. Ucto supports FoLiA XML.

Project

CLARIN-NL

CLARIAH-CORE

CLARIN National Project

CLARIN-NL

CLARIAH-CORE

CLARIN centre

none yet

Research domain

Linguistics

Linguistic Subject

Syntax

Tool task

tokenisation

Country

Netherlands

Tool Type

local desktop

Research Phase

Enriching Data

Tool status

published

Input format

application/pdf

application/msword

text/folia+xml

text/plain

Output format

text/plain

Input Language

Language independent

Version

v0.13

Access Contact

Project Contact

/mailto:/

Creator Contact

Maarten van Gompel, Ko van der Sloot and Antal van den Bosch. 2017. Ucto: Unicode Tokenizer. version 0.9.6. Reference Guide. Technical Report, Jan 23, 2017.

Ko van der Sloot

Documentation

Maarten van Gompel, Ko van der Sloot, Antal van den Bosch (2012). Ucto: Unicode Tokeniser. Reference Guide. ILK Technical Report 12-05.

readme

releaseNotes

issueTracker

contIntegration

Source code

https://github.com/LanguageMachines/ucto

Resource

CMDI File Link

License

GNU GPL

Inventory Scope

local

PICCL

root — Mon, 08 Apr 2019 08:38:55 +0000

Title

PICCL: Philosophical Integrator of Computational and Corpus Libraries

Description

PICCL is a set of workflows for corpus building through OCR, post-correction, modernization of historic language and Natural Language Processing. It combines Tesseract Optical Character Recognition, TICCL functionality and Frog functionality in a single pipeline. Tesseract offers Open Source software for optical character recognition. TICCL (Text Induced Corpus Clean-up) is a system that is designed to search a corpus for all existing variants of (potentially) all words occurring in the corpus. This corpus can be one text, or several, in one or more directories, located on one or more machines. TICCL creates word frequency lists, listing for each word type how often the word occurs in the corpus. These frequencies of the normalized word forms are the sum of the frequencies of the actual word forms found in the corpus. TICCL is a system that is intended to detect and correct typographical errors (misprints) and OCR errors (optical character recognition) in texts. When books or other texts are scanned from paper by a machine, that then turns these scans, i.e. images, into digital text files, errors occur. For instance, the letter combination `in' can be read as `m', and so the word `regeering' is incorrectly reproduced as `regeermg'. TICCL can be used to detect these errors and to suggest a correct form. Frog enriches textual documents with various linguistic annotations.

Project

CLARIN-NL

CLARIAH-CORE

Nederlab

CLARIN National Project

CLARIN-NL

CLARIAH-CORE

CLARIN centre

none yet

Research domain

Linguistics

Philosophy

Literary Studies

Religion Studies

History

Linguistic Subject

Orthography

Morphology

Syntax

Tool task

optical character recognition

orthographic normalisation

tokenisation

dependency parsing

shallow parsing

lemmatisation

morphological analysis

named entity recognition

part of speech tagging

Country

Netherlands

Tool Type

local desktop

Research Phase

Enriching Data

Tool status

published

Input format

application/pdf

image/tiff

text/plain

text/folia+xml

image/vnd.djvu

Output format

text/folia+xml

Input Language

Dutch

Swedish

Russian

Spanish

Portuguese

English

German

French

Italian

Finnish

Modern Greek

Classical Greek

Icelandic

German (Fraktur)

Latin

Romanian

Version

v0.6.4

Access Contact

Martin Reynaert

Project Contact

/mailto:/

Creator Contact

Martin Reynaert

Ko van der Sloot

Documentation

Information Page

readme

releaseNotes

issueTracker

contIntegration

Source code

https://github.com/LanguageMachines/piccl

Publications

Martin Reynaert, Maarten van Gompel, Ko van der Sloot and Antal van den Bosch. 2015. PICCL: Philosophical Integrator of Computational and Corpus Libraries. Proceedings of CLARIN Annual Conference 2015, pp. 75-79. Wrocław, Poland. http://www.nederlab.nl/cms/wp-content/uploads/2015/10/Reynaert_PICCL-Philosophical-Integrator-of-Computational-and-Corpus-Libraries.pdf

Resource

LandingPage

CMDI File Link

License

GNU GPL

Inventory Scope

local

FLAT

root — Mon, 08 Apr 2019 08:38:55 +0000

https://github.com/proycon/flat/blob/master/flat/style/logo.svg

Title

FLAT: FoLiA-Linguistic-Annotation-Tool

Description

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. It is a document-centric tool that fully preserves and visualises document structure. Features Web-based, multi-user environment Server-side document storage, divided into 'namespaces', by default each user has his own namespace. Active documents are held in memory server-side. Read and write permissions to access namespaces are fully configurable. Concurrency (multiple users may edit the same document similtaneously) Full versioning control for documents (using git), allowing limitless undo operations. (in foliadocserve) Full annotator information, with timestamps, is stored in the FoLiA XML and can be displayed by the interface. The git log also contains verbose information on annotations. Annotators can indicate their confidence for each annotation Highly configurable interface; interface options may be disabled on a per-configuration basis. Multiple configurations can be deployed on a single installation Displays and retains document structure (divisions, paragraphs, sentence, lists, etc) Support for corrections, of text or linguistic annotations, and alternative annotations. Corrections are never mere substitutes, originals are always preserved! Spelling corrections for runons, splits, insertions and deletions are supported. Supports FoLiA Set Definitions to display label sets. Sets are not predefined in FoLiA and anybody can create their own. Supports Token Annotation and Span Annotation Supports complex span annotations such as dependency relations, syntactic units (constituents), predicates and semantic roles, sentiments, stratements/attribution, observations Simple metadata editor for editing/adding arbitrary metadata to a document. Selected metadata fields can be shown in the document index as well. User permission model featuring groups, group namespaces, and assignable permissions File/document management functions (copying, moving, deleting) Allows converter extensions to convert from other formats to FoLiA on upload In-document search (CQL or FQL), advanced searches can be predefined by administrators Morphosyntactic tree visualisation (constituency parses and morphemes) Higher-order annotation: associate features, comments, descriptions with any linguistic annotation

Project

CLARIN-NL

CLARIAH-CORE

CLARIN National Project

CLARIN-NL

CLARIAH-CORE

CLARIN centre

none yet

Research domain

Linguistics

Linguistic Subject

Syntax

Morphology

Morpho-syntax

Orthography

Tool task

annotation

editing

Country

Netherlands

Tool Type

web application

Research Phase

Enriching Data

Tool status

published

Input format

text/folia+xml

Output format

text/folia+xml

Input Language

Language independent

Version

v0.7.12

Access Contact

Project Contact

Jan Odijk

Creator Contact

Documentation

Installation Guide

Administration Guide

User Guide

FLAT Demonstration Video

Release Notes

Issue Tracker

Source code

https://github.com/proycon/flat

Resource

CMDI File Link

License

GNU GPL

Inventory Scope

local

Frog

root — Mon, 08 Apr 2019 08:38:48 +0000

http://dev.clarin.nl/sites/default/files/froglogo.svg

Title

Frog: An advanced Natural Language Processing Suite for Dutch (Web Service and Application)

Description

Frog is an integration of memory-based natural language processing (NLP) modules developed for Dutch. It performs automatic linguistic enrichment such as part of speech tagging, lemmatisation, named entity recognition, shallow parsing, dependency parsing and morphological analysis. All NLP modules are based on TiMBL.

Project

CGN

CLARIN-NL

CLARIAH-CORE

CLARIN National Project

CLARIN-NL

CLARIAH-CORE

CLARIN centre

none yet

Research domain

Linguistics

Linguistic Subject

Syntax

Tool task

dependency parsing

shallow parsing

lemmatisation

morphological analysis

named entity recognition

part of speech tagging

tokenisation

Country

Netherlands

Tool Type

web application

Research Phase

Enriching Data

Tool status

published

Input format

application/pdf

application/msword

text/folia+xml

text/plain

Output format

text/csv

Input Language

Dutch

Version

v0.15

Access Contact

Project Contact

/mailto:/

Creator Contact