我正在编写一个脚本,通过比较两个数组来对用户响应进行评分。 (这是一个测验,看看他们对信息的逐字了解程度。)我已经有了一些我需要的代码,比如将用户响应设为小写并将其拆分。我所需要的只是找出差异/错误的数量。例如:
var correctanswer = ["The","quick","brown","fox","jumped","over","the","lazy","dog"];
var useranswer = ["The","brown","fox","jumped","up","and","over","the","really","lazy","cat"];
alert(counterrors(correctanswer, useranswer));
在这个特定的例子中,运行我正在寻找的函数会返回用户犯了 5 个错误(他们省略“快速”,添加“向上”, “和”,和“真的”,并且将“狗”改为“猫”)。如您所见,这两个数组的长度可能不同。
有人知道如何处理这个问题吗?我在想这可能是一个像这样的循环:
for (x in correctanswer) {
// compare correctanswer[x] to useranswer[x]... not sure how exactly. Seems tricky...
}
感谢您的关注!我看过 John Resig 的差异解决方案 ( http://ejohn.org/projects/javascript-diff-algorithm/ ) 和其他类似的东西,甚至还有一些数组比较,但似乎没有任何效果,因为我发现的那些返回了所有差异,而我想看看有多少差异。再次感谢您的浏览,如有任何问题,请告诉我。
更新:非常感谢 Magnar 的回答!它运行良好。
最佳答案
你要找的是 The Levenshtein Distance两个数组的。
它是一种算法,用于计算将一个序列转换为另一个序列所需的添加、删除 和替换 的数量。
Wikipedia page I linked有一个伪代码实现。我已经为你做了一个 JavaScript 的逐行翻译:
var correctanswer = ["The","quick","brown","fox","jumped","over","the","lazy","dog"];
var useranswer = ["The","brown","fox","jumped","up","and","over","the","really","lazy","cat"];
console.log(calculate_levenshtein_distance(correctanswer, useranswer));
function calculate_levenshtein_distance(s, t) {
var m = s.length + 1, n = t.length + 1;
var i, j;
// for all i and j, d[i,j] will hold the Levenshtein distance between
// the first i words of s and the first j words of t;
// note that d has (m+1)x(n+1) values
var d = [];
for (i = 0; i < m; i++) {
d[i] = [i]; // the distance of any first array to an empty second array
}
for (j = 0; j < n; j++) {
d[0][j] = j; // the distance of any second array to an empty first array
}
for (j = 1; j < n; j++) {
for (i = 1; i < m; i++) {
if (s[i - 1] === t[j - 1]) {
d[i][j] = d[i-1][j-1]; // no operation required
} else {
d[i][j] = Math.min(
d[i - 1][j] + 1, // a deletion
d[i][j - 1] + 1, // an insertion
d[i - 1][j - 1] + 1 // a substitution
);
}
}
}
return d[m - 1][n - 1];
}
这会将 5
记录到控制台。正如您将看到的,这就是阵列之间的正确距离。学生没有添加 lazy
。所以它是 1 个删除,3 个添加和 1 个替换。
关于javascript - 使用 JavaScript 对用户响应进行评分(比较两个数组),我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/6459345/