Ruby gem to calculate statistics from text to determine readability, complexity and grade level of a particular corpus.
Translation based on Python textstat library by @shivam5992 and other contributors. Thanks for making this world more open sourced ❤️
require 'textstat'
test_data = %(
Playing games has always been thought to be important to
the development of well-balanced and creative children
however, what part, if any, they should play in the lives
of adults has never been researched that deeply. I believe
that playing games is every bit as important for adults
as for children. Not only is taking time out to play games
with our children and other adults valuable to building
interpersonal relationships but is also a wonderful way
to release built up tension.
)
TextStat.flesch_reading_ease(test_data)
TextStat.smog_index(test_data)
TextStat.flesch_kincaid_grade(test_data)
TextStat.coleman_liau_index(test_data)
TextStat.automated_readability_index(test_data)
TextStat.dale_chall_readability_score(test_data)
TextStat.difficult_words(test_data)
TextStat.linsear_write_formula(test_data)
TextStat.gunning_fog(test_data)
TextStat.text_standard(test_data)The argument (text) for all the defined functions remains the same - i.e the text for which statistics need to be calculated.
Add this line to your application's Gemfile:
gem 'textstat'And then execute:
bundle
Or install it yourself as:
gem install textstat
TextStat.syllable_count(text, lang='en_us')Returns the number of syllables present in the given text.
Uses the Ruby gem text-hyphen
for syllable calculation. Optional language specifies to
text-hyphen which language dictionary to use.
Default is 'en_us', other languages should have their own dictionaries for easy words (TODO).
TextStat.lexicon_count(text, remove_punctuation = true)Calculates the number of words present in the text.
Optional removepunct specifies whether we need to take
punctuation symbols into account while counting lexicons.
Default value is True, which removes the punctuation
before counting lexicon items.
TextStat.sentence_count(text)Returns the number of sentences present in the given text.
TextStat.flesch_reading_ease(text)Returns the Flesch Reading Ease Score.
The following table can be helpful to assess the ease of readability in a document.
The table is an example of values. While the maximum score is 121.22, there is no limit on how low the score can be. A negative score is valid.
| Score | Difficulty |
|---|---|
| 90-100 | Very Easy |
| 80-89 | Easy |
| 70-79 | Fairly Easy |
| 60-69 | Standard |
| 50-59 | Fairly Difficult |
| 30-49 | Difficult |
| 0-29 | Very Confusing |
Further reading on Wikipedia
TextStat.flesch_kincaid_grade(text)Returns the Flesch-Kincaid Grade of the given text. This is a grade formula in that a score of 9.3 means that a ninth grader would be able to read the document.
Further reading on Wikipedia
TextStat.gunning_fog(text)Returns the FOG index of the given text. This is a grade formula in that a score of 9.3 means that a ninth grader would be able to read the document.
Further reading on Wikipedia
TextStat.smog_index(text)Returns the SMOG index of the given text. This is a grade formula in that a score of 9.3 means that a ninth grader would be able to read the document.
Texts of fewer than 30 sentences are statistically invalid, because the SMOG formula was normed on 30-sentence samples. textstat requires atleast 3 sentences for a result.
Further reading on Wikipedia
TextStat.automated_readability_index(text)Returns the ARI (Automated Readability Index) which outputs a number that approximates the grade level needed to comprehend the text.
For example if the ARI is 6.5, then the grade level to comprehend the text is 6th to 7th grade.
Further reading on Wikipedia
TextStat.coleman_liau_index(text)Returns the grade level of the text using the Coleman-Liau Formula. This is a grade formula in that a score of 9.3 means that a ninth grader would be able to read the document.
Further reading on Wikipedia
TextStat.linsear_write_formula(text)Returns the grade level using the Linsear Write Formula. This is a grade formula in that a score of 9.3 means that a ninth grader would be able to read the document.
Further reading on Wikipedia
TextStat.dale_chall_readability_score(text)Different from other tests, since it uses a lookup table of the most commonly used 3000 English words. Thus it returns the grade level using the New Dale-Chall Formula.
| Score | Understood by |
|---|---|
| 4.9 or lower | average 4th-grade student or lower |
| 5.0–5.9 | average 5th or 6th-grade student |
| 6.0–6.9 | average 7th or 8th-grade student |
| 7.0–7.9 | average 9th or 10th-grade student |
| 8.0–8.9 | average 11th or 12th-grade student |
| 9.0–9.9 | average 13th to 15th-grade (college) student |
Further reading on Wikipedia
TextStat.text_standard(text, float_output=False)Based upon all the above tests, returns the estimated school grade level required to understand the text.
Optional float_output allows the score to be returned as a
float. Defaults to False.
Languages supported:
- US English
- Catalan
- Czech
- Danish
- Spanish
- Estonian
- Finnish
- French
- Hungarian
- Indonesian
- Icelandic
- Italian
- Latin
- Dutch (Nederlande)
- Bokmål (Norwegian)
- Polish
- Portuguese
- Russian
- Swedish
- Performance optimization
- CEFR levels
Dictionary (2000 words):
- UK English
- Irish Gaelic
- Croatian
- Upper Sorbian
- Interlingua
- Mongolian
- Nynorsk (Norwegian)
If you find any problems, you should open an issue.
If you can fix an issue you've found, or another issue, you should open a pull request.
- Fork this repository on GitHub to start making your changes to the master branch (or branch off of it).
- Write a test which shows that the bug was fixed or that the feature works as expected.
- Send a pull request!
git clone https://github.com/kupolak/textstat.git # Clone the repo from your fork
cd textstat
bundle # Install all dependencies
# Make changes
rspec spec # Run tests