PHP脚本查找/识别域名中的单词

Question

我正在寻找一个可以识别域名中的单词的 php 代码/脚本。

例如，当用户查询域名snapnames.com时 - 该脚本将显示SnapNames.com（识别该域中的2个单词：Snap Names）

希望有人可以帮助

谢谢

Answer 1

恐怕没有完美的答案......正如阿诺德所说，像“expertsexbhange.com”这样的域名可以评估为“Expert Sex Change.com”以及“Experts Exchange.com”。

不仅如此，这样的功能对内存和处理能力的消耗相当大。您需要拥有巨大的文件才能识别所有单词等。很高兴知道为什么需要这个，以便尝试找到不同的解决方案。

如果您有某种显示网站信息的服务，那么显示“Snapnames.com”是完全可以接受的。没有必要将其大写或类似的东西。

但是，如果您一心一意地执行此行为，即使它不是 100% 准确，并且在您的服务器上相当严重……

您首先需要找到一种方法来检查字符串是否是单词。这是一个完全不同的问题，有着完全合理的答案。您需要单独询问，看看是否可以找到 PHP 的字典库。

基本上，向后迭代字符串，直到它变成一个单词，从字符串中删除该单词，然后重复。例如：

expertsexchange.com，您可以这样检查：

第一个 {} 是您找到的单词列表。
第一个“”是您要检查的所有字母
最后一个“”是您正在检查的当前字母子集

{} "expertsexchange" "expertsexchange" <-- not a word
{} "expertsexchange" "expertsexchang" <-- not a word
{} "expertsexchange" "expertsexchan" <-- not a word
{} "expertsexchange" "expertsexcha" <-- not a word
{} "expertsexchange" "expertsexch" <-- not a word
{} "expertsexchange" "expertsexc" <-- not a word
{} "expertsexchange" "expertsex" <-- not a word
{} "expertsexchange" "expertse" <-- not a word
{} "expertsexchange" "experts" <-- WORD! Add it to our list of words
{"experts"} "exchange" "exchange" <-- WORD! Add it to our list of words
{"experts", "exchange"} "" "" <-- No more letters to check, we have found all of our words.

让我们尝试一个不同的示例...

hellotherewittlekitty。它有一个字典无法识别的“单词”（“wittle”）。不幸的是，这就是算法处理该问题的方式：

{} "hellotherewittlekitty" "hellotherewittlekitty" <-- not a word
{} "hellotherewittlekitty" "hellotherewittlekitt" <-- not a word
{} "hellotherewittlekitty" "hellotherewittlekit" <-- not a word
{} "hellotherewittlekitty" "hellotherewittleki" <-- not a word
{} "hellotherewittlekitty" "hellotherewittlek" <-- not a word
{} "hellotherewittlekitty" "hellotherewittle" <-- not a word
{} "hellotherewittlekitty" "hellotherewittl" <-- not a word
{} "hellotherewittlekitty" "hellotherewitt" <-- not a word
{} "hellotherewittlekitty" "hellotherewit" <-- not a word
{} "hellotherewittlekitty" "hellotherewi" <-- not a word
{} "hellotherewittlekitty" "hellotherew" <-- not a word
{} "hellotherewittlekitty" "hellothere" <-- not a word
{} "hellotherewittlekitty" "hellother" <-- not a word
{} "hellotherewittlekitty" "hellothe" <-- not a word
{} "hellotherewittlekitty" "helloth" <-- not a word
{} "hellotherewittlekitty" "hellot" <-- not a word
{} "hellotherewittlekitty" "hello" <-- WORD! add it to list, and remove form main string!
{"hello"} "therewittlekitty" "therewittlekitty" <-- not a word
{"hello"} "therewittlekitty" "therewittlekitt" <-- not a word
{"hello"} "therewittlekitty" "therewittlekit" <-- not a word
{"hello"} "therewittlekitty" "therewittleki" <-- not a word
{"hello"} "therewittlekitty" "therewittlek" <-- not a word
{"hello"} "therewittlekitty" "therewittle" <-- not a word
{"hello"} "therewittlekitty" "therewittl" <-- not a word
{"hello"} "therewittlekitty" "therewitt" <-- not a word
{"hello"} "therewittlekitty" "therewit" <-- not a word
{"hello"} "therewittlekitty" "therew" <-- not a word
{"hello"} "therewittlekitty" "there" <-- WORD! add it to list, and remove from main string
{"hello", "there"} "wittlekitty" "wittlekitty" <-- not a word
{"hello", "there"} "wittlekitty" "wittlekitt" <-- not a word
{"hello", "there"} "wittlekitty" "wittlekit" <-- not a word
{"hello", "there"} "wittlekitty" "wittleki" <-- not a word
{"hello", "there"} "wittlekitty" "wittlek" <-- not a word
{"hello", "there"} "wittlekitty" "wittle" <-- not a word (even though humans read it as one)
{"hello", "there"} "wittlekitty" "wittl" <-- not a word
{"hello", "there"} "wittlekitty" "witt" <-- WORD! add to dictionary and remove from string
{"hello", "there", "witt"} "lekitty" "lekitty" <-- not a word
{"hello", "there", "witt"} "lekitty" "lekitt" <-- not a word
{"hello", "there", "witt"} "lekitty" "lekit" <-- not a word
{"hello", "there", "witt"} "lekitty" "leki" <-- WORD! (biology, wikipedia)
{"hello", "there", "witt", "leki"} "tty" "tty" <-- not a word
{"hello", "there", "witt", "leki"} "tty" "tt" <-- not a word
{"hello", "there", "witt", "leki"} "tty" "t" <-- not a word
{"hello", "there", "witt", "leki"} "tty" "" <-- No more letters, add it to the list!
{"hello", "there", "witt", "leki", "tty"} "" ""

因此，hellotherewittlekitty 将显示为 HelloThereWittLekiTty，这比仅将其全部保留为小写更糟糕。

还有其他算法对 CPU 的消耗比这更大，并且需要更多数据，这可能会为您提供更高的准确性。但总而言之，对于所有的工作来说，仅获得 30% 的准确率是不值得的。特别是因为当算法失败时，它会毁掉你的话。这意味着添加此内容将使您 60% 的网站被毁。