TranslatedChinese word segmentation, part-of-speech tagging, named entity recognition, dependency parsing, constituency parsing, semantic dependency parsing, semantic role labeling, coreference resolution, style transfer, semantic similarity, new word discovery, keyword and keyphrase extraction, automatic summarization, text classification and clustering, pinyin and Simplified/Traditional Chinese conversion, natural language processing
💫 Industrial-strength Natural Language Processing (NLP) in Python
TranslatedSelf-hosted TikTok, Douyin & Bilibili scraper and no-watermark video downloader — async REST API, MCP server for AI agents, CLI and web console, plus offline speech-to-text for downloaded videos. Self-healing identity pool, PostgreSQL archive, one docker compose up.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
- pytorch
- nlp
- named-entity-recognition
- sequence-labeling
modest natural-language processing
- nlp
- part-of-speech
- named-entity-recognition
InstantID: Zero-shot Identity-Preserving Generation in Seconds 🔥
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
State of the Art Natural Language Processing
Specialised AI models for logo design — a brand-analysis model turns a business into constraints, typography and symbol models construct the mark, and a composition engine produces real lockups and clear-space rules. Early access open.
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.
A curated list of NLP resources for Hungarian
SABER enables identity-resolved quantification of multi-animal social behavior
Apache cTAKES is a Natural Language Processing (NLP) platform for clinical text.
Second Brain automation for Obsidian vaults — entity management, ingestion, compression, and sync via Claude Code skills
A social science tool to programmatically analyze entities in non-fictional texts
- dependency-parser
- go
- golang
- nlp