address VS gojieba

Compare address vs gojieba and see what are their differences.

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address gojieba
2 -
70 2,322
- -
6.5 1.9
12 days ago about 1 year ago
Go Go
MIT License 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.

address

Posts with mentions or reviews of address. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-26.

gojieba

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

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

What are some alternatives?

When comparing address and gojieba you can also consider the following projects:

universal-translator - :speech_balloon: i18n Translator for Go/Golang using CLDR data + pluralization rules

gse - Go efficient multilingual NLP and text segmentation; support English, Chinese, Japanese and others.

go-pinyin - 汉字转拼音

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

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

gounidecode - Unicode transliterator for #golang

go-mystem - CGo bindings to Yandex.Mystem

go-unidecode - ASCII transliterations of Unicode text.

when - A natural language date/time parser with pluggable rules

sentences - A multilingual command line sentence tokenizer in Golang

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