Pragmatic Segmenter VS Treetop

Compare Pragmatic Segmenter vs Treetop and see what are their differences.

Pragmatic Segmenter

Pragmatic Segmenter is a rule-based sentence boundary detection gem that works out-of-the-box across many languages. (by diasks2)

Treetop

A Ruby-based parsing DSL based on parsing expression grammars. (by cjheath)
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Pragmatic Segmenter Treetop
- -
535 300
- -
0.0 0.0
6 months ago over 1 year ago
Ruby Ruby
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.

Pragmatic Segmenter

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

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

Treetop

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

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

What are some alternatives?

When comparing Pragmatic Segmenter and Treetop you can also consider the following projects:

Treat - Natural language processing framework for Ruby.

Parslet - A small PEG based parser library. See the Hacking page in the Wiki as well.

Awesome NLP with Ruby - Curated List: Practical Natural Language Processing done in Ruby

Text - Collection of text algorithms. gem install text

Ruby Natural Language Processing Resources - A collection of links to Ruby Natural Language Processing (NLP) libraries, tools and software

pocketsphinx-ruby - Ruby speech recognition with Pocketsphinx