Go efficient fast multilingual NLP and text segmentation; support English, Chinese, Japanese and others.
- go
- segment
- nlp
- gse
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Go efficient fast multilingual NLP and text segmentation; support English, Chinese, Japanese and others.
🚀 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.
Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.
An NLP library for Uralic languages such as Finnish, Skolt Sami, Moksha and so on. Also supporting some non-Uralic languages such as Spanish, French, Arabic, Swedish, Norwegian, Russian and English. LLMs, FSTs and More!
A Go package for n-gram based text categorization, with support for utf-8 and raw text
A flexible and general-purpose ngrams library written in Ruby. Raingrams supports ngram sizes greater than 1, text/non-text grams, multiple parsing styles and open/closed vocabulary models.
Tagify produces a set of tags from a given source. Source can be either an HTML page, a Markdown document or a plain text. Supports English, Russian, Chinese, Hindi, Spanish, Arabic, Japanese, German, Hebrew, French and Korean languages.
A tokenizer based on the dictionary and Bigram language models for Go. (Now only support chinese segmentation)