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| 1 | +package com.github.houbb.nlp.hanzi.similar.support.similar; |
| 2 | + |
| 3 | +import com.github.houbb.heaven.util.lang.CharUtil; |
| 4 | +import com.github.houbb.heaven.util.util.ArrayPrimitiveUtil; |
| 5 | +import com.github.houbb.heaven.util.util.ArrayUtil; |
| 6 | +import com.github.houbb.nlp.hanzi.similar.api.IHanziSimilar; |
| 7 | +import com.github.houbb.nlp.hanzi.similar.api.IHanziSimilarContext; |
| 8 | +import com.github.houbb.nlp.hanzi.similar.util.ChaiziHelper; |
| 9 | + |
| 10 | +import java.util.List; |
| 11 | +import java.util.Map; |
| 12 | + |
| 13 | +/** |
| 14 | + * 拆字 |
| 15 | + * |
| 16 | + * A = {A1, A2, ..., Am} |
| 17 | + * B = {B1, B2, ..., Bm} |
| 18 | + * |
| 19 | + * 每一个组成部分都有对应的笔画数(没有默认取1),所以有对应的权重。 |
| 20 | + * |
| 21 | + * 得分应该如何计算呢? |
| 22 | + * |
| 23 | + * 长度:min(A, B) = m_AB |
| 24 | + * 然后遍历,遍历元素。比如以 A 为准。 |
| 25 | + * |
| 26 | + * A1 和 B1 相同,score_1 = A1_n/A_n + B1_n/B_n; |
| 27 | + * |
| 28 | + * 如何归一化? |
| 29 | + * |
| 30 | + * @author binbin.hou |
| 31 | + * @since 1.0.0 |
| 32 | + */ |
| 33 | +public class ChaiziSimilar implements IHanziSimilar { |
| 34 | + |
| 35 | + @Override |
| 36 | + public double similar(IHanziSimilarContext similarContext) { |
| 37 | + String hanziOne = similarContext.charOne(); |
| 38 | + String hanziTwo = similarContext.charTwo(); |
| 39 | + |
| 40 | + int numberOne = getNumber(hanziOne, similarContext); |
| 41 | + int numberTwo = getNumber(hanziTwo, similarContext); |
| 42 | + |
| 43 | + // 拆分 |
| 44 | + char[] charsOne = getSplitChars(hanziOne); |
| 45 | + char[] charsTwo = getSplitChars(hanziTwo); |
| 46 | + |
| 47 | + int minLen = Math.min(charsOne.length, charsTwo.length); |
| 48 | + |
| 49 | + // 比较 |
| 50 | + double totalScore = 0.0; |
| 51 | + for(int i = 0; i < minLen; i++) { |
| 52 | + char iChar = charsOne[i]; |
| 53 | + String textChar = iChar+""; |
| 54 | + if(ArrayPrimitiveUtil.contains(charsTwo, iChar)) { |
| 55 | + int textNumber = getNumber(textChar, similarContext); |
| 56 | + |
| 57 | + double scoreOne = textNumber*1.0 / numberOne * 1.0; |
| 58 | + double scoreTwo = textNumber*1.0 / numberTwo * 1.0; |
| 59 | + |
| 60 | + totalScore += (scoreOne + scoreTwo) / 2.0; |
| 61 | + } |
| 62 | + } |
| 63 | + |
| 64 | + return totalScore * similarContext.chaiziRate(); |
| 65 | + } |
| 66 | + |
| 67 | + /** |
| 68 | + * 获取拆分后对应的拆分字符 |
| 69 | + * @param charWord 字符 |
| 70 | + * @return 结果 |
| 71 | + */ |
| 72 | + private char[] getSplitChars(String charWord) { |
| 73 | + List<String> stringList = ChaiziHelper.chai(charWord.charAt(0)); |
| 74 | + |
| 75 | + // 这里应该选择哪一个是有讲究的。此处为了简单,默认选择第一个。 |
| 76 | + String string = stringList.get(0); |
| 77 | + |
| 78 | + return string.toCharArray(); |
| 79 | + } |
| 80 | + |
| 81 | + /** |
| 82 | + * 获取笔画数 |
| 83 | + * @param text 文本 |
| 84 | + * @param similarContext 上下文 |
| 85 | + * @return 结果 |
| 86 | + */ |
| 87 | + private int getNumber(String text, IHanziSimilarContext similarContext) { |
| 88 | + Map<String, Integer> map = similarContext.bihuashuData().dataMap(); |
| 89 | + |
| 90 | + Integer number = map.get(text); |
| 91 | + if(number == null) { |
| 92 | + return 1; |
| 93 | + } |
| 94 | + |
| 95 | + return number; |
| 96 | + } |
| 97 | + |
| 98 | +} |
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