Part Of Speech Tagging
Showing 15 of 15 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.
A multilingual Part-of-Speech tagger and lemmatizer for Basque, Dutch, English, French, Galician, German, Italian, and Spanish.
An Angular component library for interactively highlighting and annotating text, ideal for visualizing named entity recognition or part-of-speech tagging.
Dynamic and static D bindings to the MeCab C API for Japanese morphological analysis.
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