dpar VS prose

Compare dpar vs prose and see what are their differences.

dpar

Neural network transition-based dependency parser (in Rust) (by danieldk)
Natural Language Processing dependency-parser Embeddings Parsing Transition neural-networks Rust
Source Code
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prose

:book: A Golang library for text processing, including tokenization, part-of-speech tagging, and named-entity extraction. (by jdkato)
Natural Language Processing Prose NLP

DISCONTINUED

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dpar prose
- 1
41 2,924
- -
3.2 1.9
over 3 years ago almost 2 years ago
Rust 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.

dpar

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

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

prose

Posts with mentions or reviews of prose. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-27.
  • Go+: Go designed for data science
    5 projects | news.ycombinator.com | 27 Mar 2021
    Apart from Gonum[1] numerical libraries, I haven't found specific data science related Go libraries in my search for it for some hobby projects when compared to Python ecosystem.

    Interestingly Prose[2] A Go library for text processing yielded better results for named-entity extraction when compared to NLTK in my tests in terms of accuracy and obviously performance.

    Perhaps Go is not being applied enough in the Data Science/ML and for fields where it's applied (Network) Math in the standard library seems to be sufficient.

    [1] https://github.com/gonum/gonum

    [2] https://github.com/jdkato/prose

What are some alternatives?

When comparing dpar and prose you can also consider the following projects:

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

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

porter - porter stemmer

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

gounidecode - Unicode transliterator for #golang

textcat - A Go package for n-gram based text categorization, with support for utf-8 and raw text

go-stem - Word Stemming in Go

porter2 - High Performance Porter2 Stemmer

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

gojieba - "结巴"中文分词的Golang版本

snowball - Cgo binding for Snowball C library

go-mystem - CGo bindings to Yandex.Mystem

dpar vs RAKE.go prose vs gse dpar vs porter prose vs go-i18n dpar vs gounidecode prose vs textcat dpar vs go-stem prose vs porter2 dpar vs spaGO prose vs gojieba dpar vs snowball prose vs go-mystem