语言检测是如何工作的? [英] How does language detection work?

问题描述

一段时间以来，我一直想知道 Google 翻译(或假设的翻译器)如何从来自"字段中输入的字符串中检测语言.我一直在思考这个问题，我唯一能想到的就是在输入字符串中寻找一种语言所独有的词.另一种方法可能是检查除了关键字之外的句子形成或其他语义.但考虑到不同的语言及其语义，这似乎是一项非常艰巨的任务.我做了一些研究，发现有一些方法可以使用 n-gram 序列并使用一些统计模型来检测语言.也希望得到高水平的回答.

I have been wondering for some time how does Google translate(or maybe a hypothetical translator) detect language from the string entered in the "from" field. I have been thinking about this and only thing I can think of is looking for words that are unique to a language in the input string. The other way could be to check sentence formation or other semantics in addition to keywords. But this seems to be a very difficult task considering different languages and their semantics. I did some research to find that there are ways that use n-gram sequences and use some statistical models to detect language. Would appreciate a high level answer too.

推荐答案

您无需对文本进行深入分析即可了解其使用的语言.统计数据告诉我们，每种语言都有特定的字符模式和频率.这是一个很好的一阶近似.当文本是多种语言时，情况会变得更糟，但它仍然不是非常复杂的东西.当然，如果文本太短(例如一个词，更糟的是，一个短词)，统计不起作用，你需要一本字典.

You don't have to do deep analysis of text to have an idea of what language it's in. Statistics tells us that every language has specific character patterns and frequencies. That's a pretty good first-order approximation. It gets worse when the text is in multiple languages, but still it's not something extremely complex. Of course, if the text is too short (e.g. a single word, worse, a single short word), statistics doesn't work, you need a dictionary.

这篇关于语言检测是如何工作的?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！