risesoft-y9/Data-Labeling
▲ +1 ★ this week
数据标注是一款专门对文本数据进行处理和标注的工具,通过简化快捷的文本标注流程和动态的算法反馈,支持用户快速标注关键词并能通过算法持续减少人工标注的成本和时间。数据标注的过程先由人工标注构建基础,再由自动标注反哺人工标注,最后由人工标注进行纠偏,从而大幅度提高标注的精准度和高效性。数据标注需要依赖开源的数字底座进行人员岗位管控。
Elasticsearch lemmatizer for 15 languages
$ git clone https://github.com/vhyza/elasticsearch-analysis-lemmagen.git▲ +1 ★ this week
数据标注是一款专门对文本数据进行处理和标注的工具,通过简化快捷的文本标注流程和动态的算法反馈,支持用户快速标注关键词并能通过算法持续减少人工标注的成本和时间。数据标注的过程先由人工标注构建基础,再由自动标注反哺人工标注,最后由人工标注进行纠偏,从而大幅度提高标注的精准度和高效性。数据标注需要依赖开源的数字底座进行人员岗位管控。
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 Python wrapper of the Yandex Mystem 3.1 morphological analyzer (http://api.yandex.ru/mystem). The original tool is shipped as a binary and this library makes it easy to integrate it in Python projects. Let us know in the issues if you would like to be involved into the developments or maintenance of this project. If you have any fix or suggestion, please make a pull request. We are very open to accepting any contributions.
Simple multilingual lemmatizer for Python, especially useful for speed and efficiency
Lemmatization for Turkish Language
▲ +3 ★ this week
State of the Art Natural Language Processing
Data from GitHub · snapshot Nov 13, 2026