如何识别拼写不同的相似单词

I want to filter out duplicate customer names from a database. A single customer may have more than one entry to the system with the same name but with little difference in spelling. So here is an example: A customer named * may have three entries to the system with this variations:

我想从数据库中筛选出重复的客户名称。单个客户可能有多个具有相同名称的系统条目，但拼写上的差异很小。所以这是一个例子：一个名为*的客户可能有三个条目进入系统：

* Berta
布鲁克伯塔
Bruck Berta
布鲁克伯塔
Biruk Berta
Biruk Berta

Let's assume we are putting this name in one database column. I would like to know the different mechanisms to identify such duplications form say a 100,000 records. We may use regular expressions in C# to iterate through all records or some other pattern matching technique or we may export these records to what ever best fits for such queries (SQL with Regular Expression capabilities)).

我们假设我们将此名称放在一个数据库列中。我想知道识别此类重复的不同机制，例如100,000条记录。我们可以在C＃中使用正则表达式来迭代所有记录或其他一些模式匹配技术，或者我们可以将这些记录导出到最适合此类查询的内容（具有正则表达式功能的SQL））。

This is what I thought as a solution

这就是我认为的解决方案

Write a C# code to iterate through each record
编写C＃代码来遍历每条记录
Get only the Consonant letters in order (in the above case: BrKBrt)
只按顺序获取辅音字母（在上述情况下：BrKBrt）
Search for the same Consonant pattern from the other records considering similar sounding letters like (C,K) (C,S), (F, PH)
从其他记录中搜索相同的辅音模式，考虑类似的声音字母，如（C，K）（C，S），（F，PH）

So please forward any ideas.

所以请转发任何想法。

8 个解决方案

#1

The Double Metaphone algorithm, published in 2000, is a new and improved version of the Soundex algorithm that was patented in 1918.

Double Metaphone算法于2000年发布，是Soundex算法的一个新的改进版本，于1918年获得专利。

The article has links to Double Metaphone implementations in many languages.

本文链接到许多语言的Double Metaphone实现。

#2

Have a look at Soundex

看看Soundex

There is a Soundex function in Transact-SQL (see http://msdn.microsoft.com/en-us/library/ms187384.aspx):

Transact-SQL中有一个Soundex函数（参见http://msdn.microsoft.com/en-us/library/ms187384.aspx）：

SELECT 
SOUNDEX('* berta'),
SOUNDEX('Bruck Berta'),
SOUNDEX('Biruk Berta')

returns the same value B620 for each of the example values

为每个示例值返回相同的值B620

#3

The obvious, established (and well documented) algorithms for finding string similarity are:

用于查找字符串相似性的明显，已建立（并且记录良好）的算法是：

Levenstein distance
Levenstein距离
Soundex
探测法

#4

I would consider writing something such as the "famous" python spell checker.

我会考虑写一些诸如“着名的”python拼写检查器之类的东西。

http://norvig.com/spell-correct.html

This will take a word and find all possible alternatives based on missing letters, adding letters, swapping letters, etc.

这将采用一个词，并根据缺失的字母，添加字母，交换字母等找到所有可能的替代方案。

#5

You might want to google for phonetic similarity algorithm and you'll find plenty of information about this. Including this article on Codeproject about implementing a solution in C#.

你可能想谷歌语音相似度算法，你会发现很多关于此的信息。在Codeproject上包含关于在C＃中实现解决方案的这篇文章。

#6

Look into soundex. It's a pretty standard library in most languages that does what you require, i.e. algorithmically identify phonetic similarity. http://en.wikipedia.org/wiki/Soundex

看看soundex。它是大多数语言中非常标准的库，可以满足您的需求，即通过算法识别语音相似性。 http://en.wikipedia.org/wiki/Soundex

#7

There is a very nice R (just search for "R" in Google) package for Record Linkage. The standard examples target exactly your problem: R RecordLinkage

Record Linkage有一个非常好的R（只在Google中搜索“R”）包。标准示例完全针对您的问题：R RecordLinkage

The C-Code for Soundex etc. is taken directly from PostgreSQL!

Soundex等的C代码直接来自PostgreSQL！

#8

I would recommend Soundex and derived algorithms over Lev distance for this solution. Levenstein distance more appropriate for spell checking solutions imho.

对于此解决方案，我建议Soundex和派生算法超过Lev距离。 Levenstein距离更适合拼写检查解决方案imho。

#1