Sdcb.PaddleNLP.Lac.Model 1.0.0

Sdcb.PaddleNLP.Lac分词模型

PaddleNLP Lac模型NuGet包

包名 💼	版本号 📌	描述 📚
Sdcb.PaddleNLP.Lac		模型自包含

使用方法及示例

需要安装的NuGet包

• Sdcb.PaddleNLP.Lac
• Sdcb.PaddleInference
• Sdcb.PaddleInference.runtime.win64.mkl

示例

1. 最简单的分词：

string input = "我是中国人，我爱我的祖国。";
using ChineseSegmenter segmenter = new();
string[] result = segmenter.Segment(input);
Console.WriteLine(string.Join(",", result)); // 我,是,中国,人,，,我,爱,我的祖国,。

2. 词性标注：

string input = "我爱北京天安门";
using ChineseSegmenter segmenter = new();
WordAndTag[] result = segmenter.Tagging(input);
string labels = string.Join(",", result.Select(x => x.Label));
string words = string.Join(",", result.Select(x => x.Word));
string tags = string.Join(",", result.Select(x => x.Tag));
Console.WriteLine(words);  // 我,爱,北京,天安门
Console.WriteLine(labels); // r,v,LOC,LOC
Console.WriteLine(tags);   // Pronoun,Verb,LocationName,LocationName

3. 自定义词库

string input = "我爱北京天安门";
using ChineseSegmenter segmenter = new(new ()
{
    CustomDictionary = new()
    {
        { "北京天安门", WordTag.LocationName },
    }
});
WordAndTag[] result = segmenter.Tagging(input);
string labels = string.Join(",", result.Select(x => x.Label));
string words = string.Join(",", result.Select(x => x.Word));
string tags = string.Join(",", result.Select(x => x.Tag));
Console.WriteLine(words);  // 我,爱,北京天安门
Console.WriteLine(labels); // r,v,LOC
Console.WriteLine(tags);   // Pronoun,Verb,LocationName