Statistical inflectional processing of agglutinative languages

日语、维吾尔语和乌孜别克语都是黏着语，它们有各种各样的屈折变化。处理拐点的传统方法是基于规则的方法。与此相反，我们认为屈折变化是一种音译，并介绍了一种统计方法。因此，我们尝试了基于统计机器翻译技术的自动生成屈折变化规则。由此，我们得到的结果表明统计屈折处理的有效性。

Japanese, Uighur and Uzbek languages are agglutinative and they have various types of inflection. Traditional ways to deal with the inflection are rule-based methods. In contrast to this, we considered inflection is a kind of transliteration and introduced a statistical approach. Thus we tried automatic generation of inflection rules based on statistical machine translation techniques. From this, we obtained the results showing the effectiveness of statistical inflectional processing.