我完成的C#关于在lucene下的中文切词

经过一天的研究，终于完成了在lucene.net下可以使用的中文切词方法。感到有些复杂，不过我还是拿下了。颇有点成就感的，发上来跟大家分享一下！
在实现了中文切词的基础方法上，我将其封装在继承lucene的Analyzer类下
chineseAnalzer的方法就不用多说了。

using System;
using System.Collections.Generic;
using System.Text;

using Lucene.Net.Analysis;
using Lucene.Net.Analysis.Standard;

namespace Lucene.Fanswo
{
    /**//// <summary>
    /// 
    /// </summary>
    public class ChineseAnalyzer:Analyzer
    {
        //private System.Collections.Hashtable stopSet;
        public static readonly System.String[] CHINESE_ENGLISH_STOP_WORDS = new System.String[] { "a", "an", "and", "are", "as", "at", "be", "but", "by", "for", "if", "in", "into", "is", "it", "no", "not", "of", "on", "or", "s", "such", "t", "that", "the", "their", "then", "there", "these", "they", "this", "to", "was", "will", "with", "我", "我们" };

      
        /**//// <summary>Constructs a {@link StandardTokenizer} filtered by a {@link
        /// StandardFilter}, a {@link LowerCaseFilter} and a {@link StopFilter}. 
        /// </summary>
        public override TokenStream TokenStream(System.String fieldName, System.IO.TextReader reader)
        {
            TokenStream result = new ChineseTokenizer(reader);
            result = new StandardFilter(result);
            result = new LowerCaseFilter(result);
            result = new StopFilter(result, CHINESE_ENGLISH_STOP_WORDS);
            return result;
        }

    }
}

ChineseTokenizer类的实现：
这里通过词典来正向匹配字符，返回lucene下定义的token流

using System;
using System.Collections.Generic;
using System.Text;
using Lucene.Net.Analysis;
using System.Collections;
using System.Text.RegularExpressions;
using System.IO;

namespace Lucene.Fanswo
{
    class ChineseTokenizer : Tokenizer
    {

        private int offset = 0, bufferIndex = 0, dataLen = 0;//偏移量，当前字符的位置，字符长度

        private int start;//开始位置
        /**//// <summary>
        /// 存在字符内容
        /// </summary>
        private string text;
       
        /**//// <summary>
        /// 切词所花费的时间
        /// </summary>
        public double TextSeg_Span = 0;
   
          /**//// <summary>Constructs a tokenizer for this Reader. </summary>
        public ChineseTokenizer(System.IO.TextReader reader)
        {
            this.input = reader;
            text = input.ReadToEnd();
            dataLen = text.Length;
        }

        /**//// <summary>进行切词，返回数据流中下一个token或者数据流为空时返回null
        /// </summary>
        /// 
        public override Token Next()
        {
            Token token = null;
            WordTree tree = new WordTree();
            //读取词库
            tree.LoadDict();
            //初始化词库，为树形
            Hashtable t_chartable = WordTree.chartable;
            string ReWord = "";
            string char_s;
            start = offset;
            bufferIndex = start;

            while (true)
            {
                //开始位置超过字符长度退出循环
                if (start >= dataLen)
                {
                    break;
                }
                //获取一个词
                char_s = text.Substring(start, 1);
                if (string.IsNullOrEmpty(char_s.Trim()))
                {
                    start++;
                    continue;
                }
                //字符不在字典中
                if (!t_chartable.Contains(char_s))
                {
                    if (ReWord == "")
                    {
                        int j = start + 1;
                        switch (tree.GetCharType(char_s))
                        {
                            case 0://中文单词
                                ReWord += char_s;
                                break;
                            case 1://英文单词
                                j = start + 1;
                                while (j < dataLen)
                                {
                                    if (tree.GetCharType(text.Substring(j, 1)) != 1)
                                        break;

                                    j++;
                                }
                                ReWord += text.Substring(start, j - offset);

                                break;
                            case 2://数字
                                j = start + 1;
                                while (j < dataLen)
                                {
                                    if (tree.GetCharType(text.Substring(j, 1)) != 2)
                                        break;

                                    j++;
                                }
                                ReWord += text.Substring(start, j - offset);

                                break;

                            default:
                                ReWord += char_s;//其他字符单词
                                break;
                        }

                        offset = j;//设置取下一个词的开始位置
                    }
                    else
                    {
                        offset = start;//设置取下一个词的开始位置
                    }
                    
                    //返回token对象
                    return new Token(ReWord, bufferIndex, bufferIndex + ReWord.Length - 1);
                }
                //字符在字典中
                ReWord += char_s;
                //取得属于当前字符的词典树
                t_chartable = (Hashtable)t_chartable[char_s];
                //设置下一循环取下一个词的开始位置
                start++;
                if (start == dataLen)
                {
                    offset = dataLen;
                    return new Token(ReWord, bufferIndex, bufferIndex + ReWord.Length - 1);
                }
            }
            return token;
        }

    }
}

测试的代码：

using System;
using System.Collections.Generic;
using System.Text;

using Analyzer = Lucene.Net.Analysis.Analyzer;
using SimpleAnalyzer = Lucene.Net.Analysis.SimpleAnalyzer;
using StandardAnalyzer = Lucene.Net.Analysis.Standard.StandardAnalyzer;
using Token = Lucene.Net.Analysis.Token;
using TokenStream = Lucene.Net.Analysis.TokenStream;

namespace MyLuceneTest
{
    class Program
    {
        [STAThread]
        public static void Main(System.String[] args)
        {
            try
            {
                Test("中华人民共和国在1949年建立，从此开始了新中国的伟大篇章。长春市长春节致词", true);
            }
            catch (System.Exception e)
            {
                System.Console.Out.WriteLine(" caught a " + e.GetType() + "\n with message: " + e.Message + e.ToString());
            }
        }

        internal static void Test(System.String text, bool verbose)
        {
            System.Console.Out.WriteLine(" Tokenizing string: " + text);
            Test(new System.IO.StringReader(text), verbose, text.Length);
        }

        internal static void Test(System.IO.TextReader reader, bool verbose, long bytes)
        {
            //Analyzer analyzer = new StandardAnalyzer();
            Analyzer analyzer = new Lucene.Fanswo.ChineseAnalyzer();
            TokenStream stream = analyzer.TokenStream(null, reader);
            
            System.DateTime start = System.DateTime.Now;

            int count = 0;
            for (Token t = stream.Next(); t != null; t = stream.Next())
            {
                if (verbose)
                {
                    System.Console.Out.WriteLine("Token=" + t.ToString());
                }
                count++;
            }

            System.DateTime end = System.DateTime.Now;

            long time = end.Ticks - start.Ticks;
            System.Console.Out.WriteLine(time + " milliseconds to extract " + count + " tokens");
            System.Console.Out.WriteLine((time * 1000.0) / count + " microseconds/token");
            System.Console.Out.WriteLine((bytes * 1000.0 * 60.0 * 60.0) / (time * 1000000.0) + " megabytes/hour");
        }
    }
}

测试结果：


完毕！
分词的郊率上还有待在算法上提高。还有中文的标点符号没有处理，我将进一步完善。
本人文采不好，写不出很多文字，只有以代码代替一下我的言语。兄弟姐妹们给点意见哦。谢谢！
 
原码下载：https://files.cnblogs.com/harryguo/LucuneSearch.rar