Unsupervised text tokenizer for Neural Network-based text generation.
- neural-machine-translation
- natural-language-processing
- word-segmentation
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Unsupervised text tokenizer for Neural Network-based text generation.
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
Self-contained Japanese Morphological Analyzer written in pure Go
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 multilingual command line sentence tokenizer in Golang
Bayesian text classifier with flexible tokenizers and storage backends for Go
A multilingual tokenizer to split a string into tokens
Ruby port of the NLTK Punkt sentence segmentation algorithm
Accurate Bayesian sentence tokenizer in Ruby.
A simple tokenizer in Ruby for NLP tasks.
Naive Bayes text classification implementation as an OmniCat classifier strategy. (#ruby #naivebayes)
A tokenizer based on the dictionary and Bigram language models for Go. (Now only support chinese segmentation)
The shamoji (杓文字) is a word filtering package