|
public Cut ( string text, bool cutAll = false, bool hmm = true ) : IEnumerable |
||
| text | string | The string to be segmented. |
| cutAll | bool | Specify segmentation pattern. True for full pattern, False for accurate pattern. |
| hmm | bool | Whether to use the Hidden Markov Model. |
| return | IEnumerable |
|
public IEnumerable<string> Cut(string text, bool cutAll = false, bool hmm = true)
{
var reHan = RegexChineseDefault;
var reSkip = RegexSkipDefault;
Func<string, IEnumerable<string>> cutMethod = null;
if (cutAll)
{
reHan = RegexChineseCutAll;
reSkip = RegexSkipCutAll;
}
if (cutAll)
{
cutMethod = CutAll;
}
else if (hmm)
{
cutMethod = CutDag;
}
else
{
cutMethod = CutDagWithoutHmm;
}
return CutIt(text, cutMethod, reHan, reSkip, cutAll);
}
public static void Run() {
while (true) {
var str = Console.ReadLine();
var segmenter = new JiebaSegmenter();
var segments = segmenter.Cut(str, cutAll: true);
Console.WriteLine("【全模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut(str); // 默认为精确模式
Console.WriteLine("【精确模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut(str); // 默认为精确模式，同时也使用HMM模型
Console.WriteLine("【新词识别】：{0}", string.Join("/ ", segments));
segments = segmenter.CutForSearch(str); // 搜索引擎模式
Console.WriteLine("【搜索引擎模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut(str);
Console.WriteLine("【歧义消除】：{0}", string.Join("/ ", segments));
}
}
