A language independent stemmer has always been looked for. Single N-gram tokenization technique works well, however, it often generates stems that start with intermediate characters, rather than initial ones. We present a novel technique that takes the concept of N gram stemming one step ahead and compare our method with an established algorithm in the field, Porter's Stemmer. Results indicate that our N gram stemmer is not inferior to Porter's linguistic stemmer.

中文翻译：

---

基于N-gram的词干算法的生成，实现和评估

一直在寻找独立于语言的词干。单个N-gram标记化技术效果很好，但是，它通常会生成以中间字符而不是初始字符开头的词干。我们提出了一种新技术，该技术将N gram的概念向前推了一步，并将我们的方法与该领域的既定算法Porter's Stemmer进行了比较。结果表明我们的N克词干不劣于Porter的语言词干。