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

在数据翻译竞技场中，有相当多的猜测 两两数据模型的相对优点 翻译与中间形式模型。 如果转换 在一定数量的特定编码方案之间， 成对翻译模式要求译者 在每种编码方案的组合之间写入， 一次两个 中间形式模型要求一个新的， 通用编码方案被用作中间载体。 然后，对于每个编码方案，需要两个翻译器， 写，一个到中间编码，一个从中间编码 阴谋 然后，这些可以组成一个翻译桥梁 任何两个特定的编码方案之间。 本计画提出 两个实验来评估这些数据转换模型。 第一个实验旨在比较 译者在每一个案例中 第二个实验旨在 比较每个国家产生翻译人员所需的工作量， 案子 这项工作的最终目标是提供一般的， 选择数据转换模型的明确指南。 这些指导方针将允许无数从事数据工作的从业者 翻译，以优化他们的努力，通过选择模型， 最好的支持他们的个人翻译环境。

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.