tokenizer VS sentences

Compare tokenizer vs sentences and see what are their differences.

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tokenizer sentences
1 -
140 421
- -
6.1 4.5
2 months ago 2 months ago
Go Go
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

tokenizer

Posts with mentions or reviews of tokenizer. We have used some of these posts to build our list of alternatives and similar projects.

sentences

Posts with mentions or reviews of sentences. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning sentences yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing tokenizer and sentences you can also consider the following projects:

maleeni - A lexer generator for golang

prose - :book: A Golang library for text processing, including tokenization, part-of-speech tagging, and named-entity extraction.

spaGO - Self-contained Machine Learning and Natural Language Processing library in Go

go-i18n - Translate your Go program into multiple languages.

kagome - Self-contained Japanese Morphological Analyzer written in pure Go

nlp - [UNMANTEINED] Extract values from strings and fill your structs with nlp.

whatlanggo - Natural language detection library for Go

go-nlp

RAKE.go - A Go port of the Rapid Automatic Keyword Extraction algorithm (RAKE)

go2vec - Read and use word2vec vectors in Go

go-stem - Word Stemming in Go

gounidecode - Unicode transliterator for #golang