Caribon

A repetition detector written in Rust.

Why?

I don't think it's really the case in english, but in french (and possibly other languages), it is considered poor style to repeat a word too often in a text (particularly a literary text). The purpose of this tool is to assist a writer in detecting those repetitions.

Why the name?

A text is composed of words, themselves composed of characters, which in french are called caractères. In french, good is bon so caribon is essentially good characters.

Alright, this doesn't make much sense, I'll admit I just found the name funny.

How?

Internally, Caribon use a stemming library (https://github.com/lady-segfault/stemmer-rs, the Rust bindings for Snowball C implementation: http://snowball.tartarus.org/) to reduce words to their stems, which allows e.g. to see a singular and a plural as the "same" word. Then it's just counting the repetitions, and outputting HTML.

Build

You'll need Rust and Cargo, see install instructions. Then

$ cargo build

should do the job (it works with Rust 1.1). You can then run caribon either with:

$ cargo run

or by directly executing the binary (in target/debug or target/release).

If you plan to use cargo run, note that command-line arguments must be prefixed by -- so cargo gives them to the binary:

$ cargo run -- --input=some_text.txt --output=output.html

You can also install the caribon binary somewhere in your path (e.g. /usr/local/bin) but currently there is no install/uninstall option, so you'll have to do it manually.

Once you have generated an HTML file, just open it with your favorite browser and see your repetitions. Note that at this time the default binary is configured for french, if you want to use another language, you'll have to pass an option (see below). Note that though a variety of input languages are supported thanks to the Snowball stemming library, at this time only french has a (incomplete) list of common words to ignore.

Example

Here is an example of Caribon used on a (previous) version of this README, using the following command:

cargo run -- --language=english --input=README.html --output=example.html

Usage

Caribon, version 0.4.0 by Élisabeth Henry <liz.henry@ouvaton.org>

Detects the repetitions in a text and renders a HTML document highlighting them

Options:
--help: displays this message
--version: displays program version
--list_languages: lists the implemented languages
--language=[language]: sets the language of the text (default: french)
--input=[filename]: sets input file (default: stdin)
--output=[filename]: sets output file (default: stdout)
--ignore=[string]: a string containing custom ignored words, separated by spaces or comma
    (default: use a builtin list that depends on the language)
--algo=[global|local|leak]: sets the detection algoritm (default: local)
--leak=[value]: sets leak value (only used by leak algorithm) (default: 0.95)
--max_distance=[value]: sets max distance (only used by local algorithm) (default: 50)
--global_count=[relative|absolute]: sets repetitions count as absolute or relative ratio of words
    (only used by global algorithm) (default: absolute)
--threshold=[value]: sets threshold value for underlining repetitions (default: 1.9)
--html=[true|false]: enables/disable HTML input (default: true)
--ignore_proper=[true|false]: if true, try to detect proper nouns and
don't count them (default: false)

Library

It is possible to use Caribon as a library. The documentation is available here; in order to get the latest version, you can also generate it with cargo doc.

Basically, it's pretty easy:

You create a new parser with Parser::new("language") (the only trick is that it returns an Option, as all languages are not implemented, see Parser::list_languages() to get a vector of those that are implemented by the stemming library.

You can then set some parameters for the parser, e.g:

let parser = Parser::new("french")
    .unwrap()
    .with_html(true) // enable html in input (default value, so it's useless)
    .with_ignore_proper(true); // don't count repetitions for proper nouns 

The first step is to "tokenize" the string you want to parse:

let words = parser.tokenize("Some string which may or may not contain repetitions");

The second step is to detect the repetitions, using one of the three algorithms:

let detected_words = parser.detect_local(words); 
let detected_words = parser.detect_global(words, false); 
let detected_words = parser.detect_leak(words);

The final step is to display this vector of words. The parser provides a method that generates an HTML file, which also takes as argument a threshold above which words are underlined, and a boolean to tell whether it must be a standalone file or not:

println!("{}", self::words_to_html(&detected_words, 1.5, true));

(A note on this threshold: its choices depends on the detection algorithm you use (and possibly your taste and the language you write in, of course). Generally, it should be a bit above 1.0, except for detect_global (in which case, it depends whether you set is_relative to true or false).

Current features

• Built-in list of ignored words (common words whose repetitions don't matter) for french and english, though they are not complete.
• Basic support for other languages supported by the Snowball (http://snowball.tartarus.org/) project.
• Count repetitions either locally (either by ignoring repetitions after a given distance, or using some leak-based algorithm) or globally.
• Detects HTML tags in input. It doesn't work with a full HTML file (containing <html>, <body> and so on) but it works fine if you use e.g pandoc -o file.html file.md.
• Outputs a basic HTML files which higlights the detected repetitions.

ChangeLog

See here.

License

Caribon is licensed under the GNU General Public License, version 2.0 or (at your convenience) any ulterior version.

Author

Élisabeth Henry <liz.henry at ouvaton.org>.

This software uses (rust bindings to) the C Stemming library written by Dr Martin Porter, licensed under the BSD License.

ToDo

Library

• Render prettier output files;
• Allow tokenizer to have in input "full" (with ,, tags) HTML documents;
• Complete builtin lists of ignored words and provide them for other languages (currently, only french, and english);
• Provide algorithm to detect repetitions of expressions, not just single words;
• Find better default values;
• Enhance documentation and add tests.

See also

caribon-server, a work-in-progress project that runs Caribon as a web server.