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Tags: NLP library
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1–24 of 25 · Most stars

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  • nlp
  • pre-trained-model
  • unilm
  • minilm

An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.

Module for automatic summarization of text documents and HTML pages.

  • python
  • lsa
  • textteaser
  • html-page

Go efficient fast multilingual NLP and text segmentation; support English, Chinese, Japanese and others.

  • go
  • segment
  • nlp
  • gse

Java API for Natural Language Generation. Originally developed by Ehud Reiter at the University of Aberdeen’s Department of Computing Science and co-founder of Arria NLG. This git repo is the official SimpleNLG version.

  • simplenlg
  • natural-language-generation
  • nlg
  • realiser

Parse human names into title, given, middle, family, suffix, nickname and maiden name. Typed, zero-dependency, CJK-aware.

  • python
  • text-processing
  • text-parser
  • python-module

RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

:wink: :cyclone: :strawberry: TextRank implementation in Golang with extendable features (summarization, phrase extraction) and multithreading (goroutine).

  • go
  • golang
  • textrank
  • summarization

Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.

  • nlp
  • medical
  • text-mining
  • clinical-data-warehouse

An NLP library for Uralic languages such as Finnish, Skolt Sami, Moksha and so on. Also supporting some non-Uralic languages such as Spanish, French, Arabic, Swedish, Norwegian, Russian and English. LLMs, FSTs and More!

A Go package for n-gram based text categorization, with support for utf-8 and raw text

A flexible and general-purpose ngrams library written in Ruby. Raingrams supports ngram sizes greater than 1, text/non-text grams, multiple parsing styles and open/closed vocabulary models.

  • ruby
  • ngrams

Tagify produces a set of tags from a given source. Source can be either an HTML page, a Markdown document or a plain text. Supports English, Russian, Chinese, Hindi, Spanish, Arabic, Japanese, German, Hebrew, French and Korean languages.

  • tagify
  • keywords
  • keyword-extraction
  • html

Surface realiser (part of a Natural Language Generation system) using Tree Adjoining Grammar

A tokenizer based on the dictionary and Bigram language models for Go. (Now only support chinese segmentation)

  • tokenizer
  • segmentation
  • golang