Collaborative Research: The Role of the Intermediate Form in Data Translations

在数据翻译领域，关于数据翻译的两两模型与中间形式模型的相对优点有相当多的猜测。如果需要在一定数量的特定编码方案之间进行翻译，那么两两翻译模式要求译者在每种编码方案的组合之间进行翻译，每次进行两个。中间形式模型要求使用一种新的通用编码方案作为中间载体。然后，对于每个编码方案，需要编写两个翻译程序，一个到中间编码方案，一个来自中间编码方案。然后可以将它们组合起来，形成任何两个特定编码方案之间的翻译桥梁。本项目提出了两个实验来评估这些数据翻译模型。第一个实验旨在比较每种情况下译者的质量。第二个实验旨在比较在每种情况下生成翻译所需的工作量。这项工作的最终目标是为选择数据翻译模型提供一般的、明确的指导方针。这些指导方针将允许无数从事数据翻译的从业者通过选择最能支持其个人翻译环境的模型来优化他们的工作。

In the data translation arena, there is considerable speculation about the relative merits of the pairwise model of data translation versus the intermediate-form model. If translation is desired between some number of specific encoding schemes, the pairwise model of translation requires that translators be written between every combination of the encoding schemes, taken two at a time. The intermediate-form model requires that a new, generic encoding scheme be used as an intermediate vehicle. Then, for each encoding scheme, two translators need to be written, one to and one from the intermediate encoding scheme. These can then be composed to form a translation bridge between any two specific encoding schemes. This project proposes two experiments to evaluate these models of data translation. The first experiment is designed to compare the quality of the translators in each case. The second experiment is designed to compare the effort required to generate the translators in each case. The ultimate goal of the work is to provide general, definitive guidelines for choosing a model of data translation. These guidelines will allow the myriad practitioners who do data translation to optimize their efforts by choosing the model that best supports their individual translation environment.