What is Statistical Machine Translation?


Over the past few years, a transformation has taken place in machine translation tools as rule-based translation systems have given way to statistical language analysis techniques that use known translations (e.g., United Nations archives and other open content) to derive nuances and meanings not easily addressed by rule-based systems. Tools like Google Translate have used statistical methods to move machine translation to the point where it is now a viable, low-cost, and easy option for automated, rapid translation on web content. While the translation tools are not yet perfect, they are fairly accurate in most cases, and are well-suited for credible on-the-fly translations.The ability to embed translation tools quickly and easily into websites such that the viewer may choose a preferred language removes the need to prepare individual copies of online material in different languages. This simplifies upkeep and maintenance as well as making it easier to deploy new content quickly. Statistical machine translation is an increasingly robust and low-cost option that has developed to the point where it is a viable and easy solution for institutions looking to make general information easily available in multiple languages.