NSLinguisticTagger:根据标签类型过滤出指定的令牌

时间:2018-11-14 08:43:02

标签: ios swift macos swift4 nslinguistictagger

我正在尝试根据标记对特定标记进行过滤。运行代码时,将其作为输出。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?

<TableRow Background="WhiteSmoke">
    <TableCell>
        <Paragraph FontSize="24" FontWeight="Bold" Margin="0,28,0,0">
            <Run FontWeight="Bold" Text="Teminat İade Şekli"/>
        </Paragraph>
    </TableCell>

    <TableCell>
        <Paragraph>
            <Viewbox Height="24" Margin="0,15,0,0">
                <RadioButton>Şubede Ödeme</RadioButton>
            </Viewbox>
            <Viewbox Height="24"  Margin="0,15,0,0">
                <RadioButton>Hesaba Ödeme</RadioButton>
            </Viewbox>
        </Paragraph>
    </TableCell>
</TableRow>

tokenizeText(inputtedText:“您好,这是我的主要目标,要使用这些单词并找出形容词,动词和名词”)

1 个答案:

答案 0 :(得分:1)

您可以简单地检查tag闭包中的.adjective是否为enumerateTags类型,并且只有在以下情况下才继续:

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)
}

打印输出:

  

黄色
  小
  灰色

编辑

如果您想要一种以上标记类型的标记,可以将标记存储在以标记为键的字典中:

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])

哪个打印出来:

  

可选([[黄色],“小”,“灰色”])
   可选([[“ cat”,“ mouse”,   “阻止”])

EDIT#2

如果您希望能够从文本中删除某些标签,则可以编写如下扩展名:

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)
    }
}

然后您可以像这样使用它:

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)

哪个打印出来:

  

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