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372 lines
9.7 KiB
372 lines
9.7 KiB
7 years ago
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using System;
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using System.Collections.Generic;
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using System.IO;
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using System.Linq;
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using System.Text;
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using System.Text.RegularExpressions;
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using NLangDetect.Core.Extensions;
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using NLangDetect.Core.Utils;
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namespace NLangDetect.Core
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{
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public class Detector
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{
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private const double _AlphaDefault = 0.5;
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private const double _AlphaWidth = 0.05;
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private const int _IterationLimit = 1000;
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private const double _ProbThreshold = 0.1;
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private const double _ConvThreshold = 0.99999;
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private const int _BaseFreq = 10000;
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private static readonly Regex _UrlRegex = new Regex("https?://[-_.?&~;+=/#0-9A-Za-z]+", RegexOptions.Compiled);
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private static readonly Regex _MailRegex = new Regex("[-_.0-9A-Za-z]+@[-_0-9A-Za-z]+[-_.0-9A-Za-z]+", RegexOptions.Compiled);
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private readonly Dictionary<string, ProbVector> _wordLangProbMap;
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private readonly List<string> _langlist;
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private StringBuilder _text;
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private double[] _langprob;
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private double _alpha = _AlphaDefault;
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private const int _trialsCount = 7;
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private int _maxTextLength = 10000;
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private double[] _priorMap;
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private int? _seed;
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#region Constructor(s)
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public Detector(DetectorFactory factory)
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{
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_wordLangProbMap = factory.WordLangProbMap;
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_langlist = factory.Langlist;
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_text = new StringBuilder();
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_seed = factory.Seed;
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}
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#endregion
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#region Public methods
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public void SetAlpha(double alpha)
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{
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_alpha = alpha;
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}
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public void SetPriorMap(Dictionary<string, double> priorMap)
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{
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_priorMap = new double[_langlist.Count];
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double sump = 0;
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for (int i = 0; i < _priorMap.Length; i++)
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{
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string lang = _langlist[i];
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if (priorMap.ContainsKey(lang))
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{
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double p = priorMap[lang];
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if (p < 0)
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{
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throw new NLangDetectException("Prior probability must be non-negative.", ErrorCode.InitParamError);
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}
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_priorMap[i] = p;
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sump += p;
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}
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}
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if (sump <= 0)
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{
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throw new NLangDetectException("More one of prior probability must be non-zero.", ErrorCode.InitParamError);
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}
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for (int i = 0; i < _priorMap.Length; i++)
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{
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_priorMap[i] /= sump;
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}
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}
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public void SetMaxTextLength(int max_text_length)
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{
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_maxTextLength = max_text_length;
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}
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// TODO IMM HI: TextReader?
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public void Append(StreamReader streamReader)
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{
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var buf = new char[_maxTextLength / 2];
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while (_text.Length < _maxTextLength && !streamReader.EndOfStream)
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{
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int length = streamReader.Read(buf, 0, buf.Length);
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Append(new string(buf, 0, length));
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}
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}
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public void Append(string text)
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{
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text = _UrlRegex.Replace(text, " ");
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text = _MailRegex.Replace(text, " ");
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char pre = '\0';
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for (int i = 0; i < text.Length && i < _maxTextLength; i++)
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{
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char c = NGram.Normalize(text[i]);
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if (c != ' ' || pre != ' ')
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{
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_text.Append(c);
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}
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pre = c;
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}
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}
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private void CleanText()
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{
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int latinCount = 0, nonLatinCount = 0;
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for (int i = 0; i < _text.Length; i++)
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{
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char c = _text[i];
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if (c <= 'z' && c >= 'A')
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{
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latinCount++;
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}
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else if (c >= '\u0300' && c.GetUnicodeBlock() != UnicodeBlock.LatinExtendedAdditional)
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{
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nonLatinCount++;
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}
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}
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if (latinCount * 2 < nonLatinCount)
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{
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var textWithoutLatin = new StringBuilder();
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for (int i = 0; i < _text.Length; i++)
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{
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char c = _text[i];
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if (c > 'z' || c < 'A')
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{
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textWithoutLatin.Append(c);
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}
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}
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_text = textWithoutLatin;
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}
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}
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public string Detect()
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{
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List<Language> probabilities = GetProbabilities();
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return
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probabilities.Count > 0
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? probabilities[0].Name
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: null;
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}
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public List<Language> GetProbabilities()
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{
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if (_langprob == null)
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{
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DetectBlock();
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}
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List<Language> list = SortProbability(_langprob);
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return list;
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}
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#endregion
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#region Private helper methods
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private static double NormalizeProb(double[] probs)
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{
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double maxp = 0, sump = 0;
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sump += probs.Sum();
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for (int i = 0; i < probs.Length; i++)
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{
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double p = probs[i] / sump;
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if (maxp < p)
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{
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maxp = p;
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}
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probs[i] = p;
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}
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return maxp;
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}
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private static string UnicodeEncode(string word)
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{
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var resultSb = new StringBuilder();
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foreach (char ch in word)
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{
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if (ch >= '\u0080')
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{
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string st = string.Format("{0:x}", 0x10000 + ch);
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while (st.Length < 4)
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{
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st = "0" + st;
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}
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resultSb
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.Append("\\u")
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.Append(st.SubSequence(1, 5));
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}
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else
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{
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resultSb.Append(ch);
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}
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}
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return resultSb.ToString();
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}
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private void DetectBlock()
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{
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CleanText();
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List<string> ngrams = ExtractNGrams();
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if (ngrams.Count == 0)
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{
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throw new NLangDetectException("no features in text", ErrorCode.CantDetectError);
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}
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_langprob = new double[_langlist.Count];
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Random rand = (_seed.HasValue ? new Random(_seed.Value) : new Random());
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for (int t = 0; t < _trialsCount; t++)
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{
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double[] prob = InitProbability();
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// TODO IMM HI: verify it works
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double alpha = _alpha + rand.NextGaussian() * _AlphaWidth;
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for (int i = 0; ; i++)
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{
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int r = rand.Next(ngrams.Count);
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UpdateLangProb(prob, ngrams[r], alpha);
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if (i % 5 == 0)
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{
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if (NormalizeProb(prob) > _ConvThreshold || i >= _IterationLimit)
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{
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break;
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}
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}
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}
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for (int j = 0; j < _langprob.Length; j++)
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{
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_langprob[j] += prob[j] / _trialsCount;
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}
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}
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}
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private double[] InitProbability()
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{
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var prob = new double[_langlist.Count];
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if (_priorMap != null)
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{
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for (int i = 0; i < prob.Length; i++)
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{
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prob[i] = _priorMap[i];
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}
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}
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else
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{
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for (int i = 0; i < prob.Length; i++)
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{
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prob[i] = 1.0 / _langlist.Count;
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}
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}
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return prob;
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}
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private List<string> ExtractNGrams()
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{
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var list = new List<string>();
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NGram ngram = new NGram();
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for (int i = 0; i < _text.Length; i++)
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{
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ngram.AddChar(_text[i]);
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for (int n = 1; n <= NGram.GramsCount; n++)
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{
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string w = ngram.Get(n);
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if (w != null && _wordLangProbMap.ContainsKey(w))
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{
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list.Add(w);
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}
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}
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}
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return list;
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}
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private void UpdateLangProb(double[] prob, string word, double alpha)
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{
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if (word == null || !_wordLangProbMap.ContainsKey(word))
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{
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return;
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}
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ProbVector langProbMap = _wordLangProbMap[word];
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double weight = alpha / _BaseFreq;
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for (int i = 0; i < prob.Length; i++)
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{
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prob[i] *= weight + langProbMap[i];
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}
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}
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private List<Language> SortProbability(double[] prob)
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{
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var list = new List<Language>();
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for (int j = 0; j < prob.Length; j++)
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{
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double p = prob[j];
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if (p > _ProbThreshold)
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{
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for (int i = 0; i <= list.Count; i++)
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{
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if (i == list.Count || list[i].Probability < p)
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{
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list.Insert(i, new Language(_langlist[j], p));
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break;
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}
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}
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}
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}
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return list;
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}
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#endregion
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}
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}
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