amir-zeldes Goto Github PK
Name: Amir Zeldes
Type: User
Company: Georgetown University
Location: Washington, DC
Name: Amir Zeldes
Type: User
Company: Georgetown University
Location: Washington, DC
ANNIS tools website
ANNIS is an open source, versatile web browser-based search and visualization architecture for complex multilevel linguistic corpora with diverse types of annotation.
The Arborator software is aimed at collaboratively annotating dependency corpora.
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
Named Entity Recognition as Dependency Parsing
coptic scriptorium xml editor tool
tools related to coreference resolution
Stanford CoreNLP: A Java suite of core NLP tools.
A simple configurable tool for manipulating dependency trees.
Node.js port of Multi-user SocialCalc
Repository for the Georgetown University Multilayer Corpus (GUM)
Repository for Hausa NLP tools
An NLP pipeline for Hebrew
Natural Language Processing Research in North American Linguistics Departments
A comprehensive list of Hebrew NLP resources.
State-of-the-art Dependency, Constituency and Semantic Dependency Parsers, with pretrained models for more than 19 languages.
This project provides an exporter to support the ANNIS format (version 3.3 and above) for the linguistic converter framework Pepper (see https://u.hu-berlin.de/saltnpepper). ANNIS is the format used by the Search and Visualization Tool ANNIS.
This project provides an importer to support the CoNLL format for the linguistic converter framework Pepper (see https://u.hu-berlin.de/saltnpepper).
This project provides a Pepper module for the merging of data on several possible levels.
Annotation mover manipulator
This project provides an importer and an exporter for the linguistic converter framework Pepper (see https://u.hu-berlin.de/saltnpepper) to support the PAULA format.
This project provides an exporter to support the relANNIS format for the linguistic converter framework Pepper (see https://u.hu-berlin.de/saltnpepper). relANNIS is the format used by the Search and Visualization Tool ANNIS.
This project provides an importer to support the RSD discourse dependency format for the linguistic converter framework Pepper (see https://u.hu-berlin.de/saltnpepper).
This project provides an importer to support the rs3 format (which is produces by the RSTTool) for the linguistic converter framework Pepper (see https://u.hu-berlin.de/saltnpepper).
This project provides an im- and an exporter to support the TreeTagger format in the linguistic converter framework Pepper (see https://u.hu-berlin.de/saltnpepper). The TreeTagger is a natural language processing tool, to annotate text with part-of-speech and lemma annotations. A detailed description of the importer can be found in section TreeTaggerImporter and a description for the exporter can be found TreeTaggerExporter.
Developer Documentation for Perseids
This is the reference implementation of commonly used coreference metrics.
A character-wise tokenizer for morphologically rich languages
Fork of grig-guz/rst-coref
Converter for Rhetorical Structure Theory (RST) trees to dependency representation
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.