NSLinguisticTagger：根据标签类型过滤掉指定的标记

Question

我正在尝试根据标记过滤掉特定的标记。当我运行我的代码时，我得到这个作为输出。我只想检索形容词并将其输出。有没有简单的方法可以做到这一点？

Hello: NSLinguisticTag(_rawValue: Interjection)
World: NSLinguisticTag(_rawValue: Noun)
this: NSLinguisticTag(_rawValue: Determiner)
is: NSLinguisticTag(_rawValue: Verb)
my: NSLinguisticTag(_rawValue: Determiner)
main: NSLinguisticTag(_rawValue: Adjective)
goal: NSLinguisticTag(_rawValue: Noun)

tokenizeText(inputtedText: "Hello World，这是我的主要目标，用这些词找出形容词、动词和名词")

Answer 1

您可以在enumerateTags 闭包中简单地检查tag 是否属于.adjective 类型，如果是则继续：

let sentence = "The yellow cat hunts the little gray mouse around the block"
let options: NSLinguisticTagger.Options = [.omitWhitespace, .omitPunctuation, .joinNames]
let schemes = NSLinguisticTagger.availableTagSchemes(forLanguage: "en")
let tagger = NSLinguisticTagger(tagSchemes: schemes, options: Int(options.rawValue))
tagger.string = sentence
tagger.enumerateTags(in: NSRange(location: 0, length: sentence.count), scheme: .nameTypeOrLexicalClass, options: options) { (tag, tokenRange, _, _) in
    guard tag == .adjective, let adjectiveRange = Range(tokenRange, in: sentence) else { return }
    let adjectiveToken = sentence[adjectiveRange]
    print(adjectiveToken)
}

打印出来：

黄色
小
灰色

编辑

如果您想要多个标记类型的标记，您可以将标记存储在字典中，并将标记作为键：

let sentence = "The yellow cat hunts the little gray mouse around the block"
let options: NSLinguisticTagger.Options = [.omitWhitespace, .omitPunctuation, .joinNames]
let schemes = NSLinguisticTagger.availableTagSchemes(forLanguage: "en")
let tagger = NSLinguisticTagger(tagSchemes: schemes, options: Int(options.rawValue))
tagger.string = sentence
var tokens: [NSLinguisticTag: [String]] = [:]
tagger.enumerateTags(in: NSRange(location: 0, length: sentence.count), scheme: .nameTypeOrLexicalClass, options: options) { (tag, tokenRange, _, _) in
    guard let tag = tag, let range = Range(tokenRange, in: sentence) else { return }
    let token = String(sentence[range])
    if tokens[tag] != nil {
        tokens[tag]!.append(token)
    } else {
        tokens[tag] = [token]
    }
}
print(tokens[.adjective])
print(tokens[.noun])

打印出来的：

可选（[“黄色”，“小”，“灰色”]）
可选（[“猫”，“鼠标”， “阻止”])

编辑#2

如果您希望能够从文本中删除某些标签，您可以编写如下扩展：

extension NSLinguisticTagger {
    func eliminate(unwantedTags: [NSLinguisticTag], from text: String, options: NSLinguisticTagger.Options) -> String {
        string = text
        var textWithoutUnwantedTags = ""
        enumerateTags(in: NSRange(location: 0, length: text.utf16.count), scheme: .nameTypeOrLexicalClass, options: options) { (tag, tokenRange, _, _) in
            guard
                let tag = tag,
                !unwantedTags.contains(tag),
                let range = Range(tokenRange, in: text)
                else { return }
            let token = String(text[range])
            textWithoutUnwantedTags += " \(token)"
        }

        return textWithoutUnwantedTags.trimmingCharacters(in: .whitespaces)
    }
}

那么你可以这样使用它：

let sentence = "The yellow cat hunts the little gray mouse around the block"
let options: NSLinguisticTagger.Options = [.omitWhitespace, .omitPunctuation, .joinNames]
let schemes = NSLinguisticTagger.availableTagSchemes(forLanguage: "en")
let tagger = NSLinguisticTagger(tagSchemes: schemes, options: Int(options.rawValue))

let sentenceWithoutAdjectives = tagger.eliminate(unwantedTags: [.adjective], from: sentence, options: options)
print(sentenceWithoutAdjectives)

打印出来的：

猫在街区周围猎杀老鼠