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FLExTrans 与 Google Translate 等统计机器翻译系统有何不同？
How is FLExTrans different from statistical machine translation system like Google Translate?
像 Google Translate 这样的统计系统依赖于特定语言对的巨量数据。利用这些数据，系统会建立模型，从而对单词或句子的翻译结果进行统计预测。FLExTrans 并不依赖此类海量数据。相反，FLExTrans 是一个基于规则的系统。通过源语言和目标语言的词典，以及规定源语言如何转换为目标语言的一组规则，FLExTrans 能够生成准确的译文。FLExTrans 专为低资源语言量身定制，适用于语言数据匮乏的场景。
Statistical systems like Google Translate rely on huge amounts of data for a given language pair. With this data models are created that make a statistical prediction of what a word or sentence translates to. FLExTrans does not rely on large amounts of data like this. Instead FLExTrans is a rule-based system. With lexicons in the source and target languages and a set of rules that specify how the source language gets transformed into the target language, FLExTrans can produce accurate translations. FLExTrans is tailor-made for low-resource languages where there is not a lot of language data available.
