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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.

> Sponsored by Atlas Cloud > > > > AI API aggregation platform with an OpenAI-compatible LLM endpoint for NLP tasks such as translation, summarization, multilingual generation, and structured extraction.

中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

spaCy is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products.

Open source annotation tool for machine learning practitioners.

It aims to cover both traditional and core NLP tasks such as dependency parsing and part-of-speech tagging as well as more recent ones such as reading comprehension and natural language inference.

This is a release of 24 smaller BERT models (English only, uncased, trained with WordPiece masking) referenced in Well-Read Students Learn Better: On the Importance of Pre-training Compact Models.

A very simple framework for state-of-the-art Natural Language Processing (NLP)

/one is quick - most sentences take a 10th of a millisecond.

The Stanford CoreNLP code is written in Java and licensed under the GNU General Public License (v2 or later). Note that this is the full GPL, which allows many free uses, but not its use in proprietary software that you distribute to others.

A control plane for the layer where cloud-native data pipelines actually break: not the application logic, but the orchestration around it. Four mechanisms, each useful alone, built to be operated together.