Part Of Speech Tagging
Showing 12 of 12 projects
A Python library for Chinese text segmentation, offering multiple modes, custom dictionaries, and keyword extraction.
A simple Python framework for state-of-the-art natural language processing (NLP) tasks like named entity recognition and sentiment analysis.
A lightweight JavaScript library for natural language processing that transforms text into structured data with a modest, pragmatic approach.
A multi-domain Chinese word segmentation toolkit offering higher accuracy and domain-specific models.
A Python library for processing simplified Chinese text, offering sentiment analysis, segmentation, and keyword extraction.
A Go library for efficient multilingual text segmentation and NLP, supporting English, Chinese, Japanese, and more.
A high-performance Golang port of the Jieba Chinese text segmentation library.
A self-contained Japanese morphological analyzer written in pure Go, tokenizing text into words and analyzing parts of speech.
A comprehensive suite of Java NLP libraries and tools for text annotation, feature extraction, and language processing tasks.
An open-source Chinese text segmentation library using CRF (Conditional Random Field) algorithm with support for pinyin segmentation and part-of-speech tagging.
A Clojure/ClojureScript library for building self-contained natural language parsers using part-of-speech tagging and semantic rules.
Ruby bindings for Stanford NLP tools providing part-of-speech tagging and named entity recognition capabilities.
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