leetcode-problemset/leetcode-cn/originData/re-space-lcci.json

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        "question": {
            "questionId": "1000020",
            "questionFrontendId": "面试题 17.13",
            "categoryTitle": "LCCI",
            "boundTopicId": 93031,
            "title": "Re-Space LCCI",
            "titleSlug": "re-space-lcci",
            "content": "<p>Oh, no! You have accidentally removed all spaces, punctuation, and capitalization in a lengthy document. A sentence like &quot;I reset the computer. It still didn&#39;t boot!&quot; became &quot;iresetthecomputeritstilldidntboot&#39;&#39;. You&#39;ll deal with the punctuation and capi&shy;talization later; right now you need to re-insert the spaces. Most of the words are in a dictionary but a few are not. Given a dictionary (a list of strings) and the document (a string), design an algorithm to unconcatenate the document in a way that minimizes the number of unrecognized characters. Return the number of unrecognized characters.</p>\r\n\r\n<p><strong>Note: </strong>This&nbsp;problem is slightly different from the original one in the book.</p>\r\n\r\n<p>&nbsp;</p>\r\n\r\n<p><strong>Example: </strong></p>\r\n\r\n<pre>\r\n<strong>Input: </strong>\r\ndictionary = [&quot;looked&quot;,&quot;just&quot;,&quot;like&quot;,&quot;her&quot;,&quot;brother&quot;]\r\nsentence = &quot;jesslookedjustliketimherbrother&quot;\r\n<strong>Output: </strong> 7\r\n<strong>Explanation: </strong> After unconcatenating, we got &quot;<strong>jess</strong> looked just like <strong>tim</strong> her brother&quot;, which containing 7 unrecognized characters.\r\n</pre>\r\n\r\n<p><strong>Note: </strong></p>\r\n\r\n<ul>\r\n\t<li><code>0 &lt;= len(sentence) &lt;= 1000</code></li>\r\n\t<li><code><font face=\"sans-serif, Arial, Verdana, Trebuchet MS\">The total number of characters in&nbsp;</font>dictionary</code>&nbsp;is less than or equal to 150000.</li>\r\n\t<li>There are only lowercase letters in&nbsp;<code>dictionary</code>&nbsp;and&nbsp;<code>sentence</code>.</li>\r\n</ul>\r\n",
            "translatedTitle": "恢复空格",
            "translatedContent": "<p>哦，不！你不小心把一个长篇文章中的空格、标点都删掉了，并且大写也弄成了小写。像句子<code>&quot;I reset the computer. It still didn&rsquo;t boot!&quot;</code>已经变成了<code>&quot;iresetthecomputeritstilldidntboot&quot;</code>。在处理标点符号和大小写之前，你得先把它断成词语。当然了，你有一本厚厚的词典<code>dictionary</code>，不过，有些词没在词典里。假设文章用<code>sentence</code>表示，设计一个算法，把文章断开，要求未识别的字符最少，返回未识别的字符数。</p>\n\n<p><strong>注意：</strong>本题相对原题稍作改动，只需返回未识别的字符数</p>\n\n<p>&nbsp;</p>\n\n<p><strong>示例：</strong></p>\n\n<pre><strong>输入：</strong>\ndictionary = [&quot;looked&quot;,&quot;just&quot;,&quot;like&quot;,&quot;her&quot;,&quot;brother&quot;]\nsentence = &quot;jesslookedjustliketimherbrother&quot;\n<strong>输出：</strong> 7\n<strong>解释：</strong> 断句后为&quot;<strong>jess</strong> looked just like <strong>tim</strong> her brother&quot;，共7个未识别字符。\n</pre>\n\n<p><strong>提示：</strong></p>\n\n<ul>\n\t<li><code>0 &lt;= len(sentence) &lt;= 1000</code></li>\n\t<li><code>dictionary</code>中总字符数不超过 150000。</li>\n\t<li>你可以认为<code>dictionary</code>和<code>sentence</code>中只包含小写字母。</li>\n</ul>\n",
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            "hints": [
                "试试递归方法。",
                "你能把所有的可能性都试一试吗？那会是什么样子？",
                "你可以用两种方法中的一种来考虑递归算法：(1)对于每个字符，我应该在这里放一个空格吗？(2)下一个空格应该放在哪里？两种方案都可以递归地解决。",
                "递归算法是否会反复遇到相同的子问题？你能用一个散列表进行优化吗？",
                "在现实生活中，我们知道有些路径不会构成一个词。例如，没有以hellothisism开头的单词。能在明知行不通的情况下提前终止吗？",
                "如果想提前终止，可以试一试trie。"
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