Parsimmon
Parsimmon is a wee linguistics toolkit for iOS written in Swift.
We currently support Swift 2.0. If you are looking for Objective-C, please use version 0.3.4 or earlier.
Toolkit
Currently available tools:
- Tokenizer
- Tagger
- Lemmatizer
- Naive Bayes Classifier
- Decision Tree (alpha)
Installation
The easiest way to get started is to use CocoaPods version 0.36 or higher. Just add the following line to your Podfile:
pod 'Parsimmon', '~> 0.5.0'Examples
To start using Parsimmon:
import ParsimmonTokenizer
let tokenizer = Tokenizer()
let tokens = tokenizer.tokenize("The quick brown fox jumps over the lazy dog")
print(tokens)(
The,
quick,
brown,
fox,
jumps,
over,
the,
lazy,
dog
)
Tagger
let tagger = Tagger()
let taggedTokens = tagger.tagWordsInText("The quick brown fox jumps over the lazy dog")
print(taggedTokens)(
"('The', Determiner)",
"('quick', Adjective)",
"('brown', Adjective)",
"('fox', Noun)",
"('jumps', Noun)",
"('over', Preposition)",
"('the', Determiner)",
"('lazy', Adjective)",
"('dog', Noun)"
)
Lemmatizer
let lemmatizer = Lemmatizer()
let lemmatizedTokens = lemmatizer.lemmatizeWordsInText("Diane, I'm holding in my hand a small box of chocolate bunnies.")
print(lemmatizedTokens)(
diane,
i,
hold,
in,
my,
hand,
a,
small,
box,
of,
chocolate,
bunny
)
Naive Bayes Classifier
let classifier = NaiveBayesClassifier()
// Train the classifier with some ham examples.
classifier.trainWithText("nom nom ham", category: "ham")
classifier.trainWithText("make sure to get the ham", category: "ham")
classifier.trainWithText("please put the eggs in the fridge", category: "ham")
// Train the classifier with some spam examples.
classifier.trainWithText("spammy spam spam", category: "spam")
classifier.trainWithText("what does the fox say?", category: "spam")
classifier.trainWithText("and fish go blub", category: "spam")
// Classify some new text. Is it ham or spam?
// In practice, you'd want to train with more examples first.
let firstExample = "use the eggs in the fridge."
let secondExample = "what does the fish say?"
print("\(firstExample) => \(classifier.classify(firstExample))")
print("\(secondExample) => \(classifier.classify(secondExample))")'use the eggs in the fridge.' => ham
'what does the fish say?' => spam
License
MIT
Contributing
We’d love to see your ideas for improving this library! The best way to contribute is by submitting a pull request. We’ll do our best to respond to your patch as soon as possible. You can also submit a new GitHub issue if you find bugs or have questions. 
Please make sure to follow our general coding style and add test coverage for new features!