The Classical Language Toolkit

💥 Use the latest Stanza (StanfordNLP) research models directly in spaCy

Pipeline component for spaCy (and other spaCy-wrapped parsers such as spacy-stanza and spacy-udpipe) that adds CoNLL-U properties to a Doc and its sentences and tokens. Can also be used as a command-line tool.

Model training tutorials for the Stanza Python NLP Library

Novoic's linguistic feature extraction library

An easy-to-use library to linguistically compare one sentence and its words to another, in the same language or a different one. For instance useful for comparing a translation with the original text, to find differences and similarities between two different translations, or to see how a machine translation differs from a reference translation.

ThamizhiMorph: A Tamil Morphological Analyser and Generator

PipelineIE is a project that contains a pipeline for information extraction (currently triple) from free text and domain specific text (eg. biomedical domain) and also supports custom models making it flexible to support other domains. It takes care of coreference resolution and entity resolution by also allowing to test with different tools.

NLP Preprocessing Pipeline Wrappers

ThamizhiPOSt - A neural based POS tagger for Tamil

unsupervised process of identifying topics in a set of persian songs by LDA method of topic modelling

Converting training data set built by lang-uk community to the format supported by Stanza NLP library

Forte wrapper of third-party toolkits.

Collection of bio-medical and clinical ner models in spacy, stanza, flair with some utility files

This project aims to implement the charCNN word embedding method that is leveraged in ELMo and characterBERT.

A rule-based RE

Bidirectional, Expandable and Stacked Tagger --- BEaST. This package provides POS-tagging using a system composed of treetagger, spaCy and Stanza. Package also provides training of a new system provided the necessary files.

The NLP project which aggregates information about rocket strikes happening during the russian invasion of Ukraine since Feb. 24.

This project aims to implement the Multi-task-Stacked-Bi-LSTMs applied in detecting the span of the counterfactual statement using ELMo Word Embedding and POS tags.

A Python XMPP client with authentication, contact and group chat management, and a Tkinter interface.