A corpus-based view of similarity and difference in translation

A corpus-based view of similarity and difference in translation
复制标题

基于语料库的翻译相似性和差异性观点

DOI:
--
复制
发表时间:
2004
期刊:
影响因子:
--
通讯作者:
Mona Baker
Mona Baker
中科院分区:
--
文献类型:
--
作者:
Mona Baker

文献摘要

被引文献

相似文献

基于语料库的研究提出了一些方法上的挑战。其中许多是显而易见的任何类型的研究,试图比较任何种类的真实数据,但在这种情况下,大量的数据的可用性的困难是突出的。特别是,与如何选择要比较的特征有关的问题,更重要的是,如何解释研究结果,邀请我们比其他类型的研究更明确地阐述我们的方法。其他研究人员可以获得相同的数据,这也意味着:(a)这些发现可以在其他研究中得到评估和质疑;(B)其他研究人员可以通过求助于在以前的研究中可能被淡化或忽略的参数,对相同的发现提出不同的、也许更合理的解释。这些问题在语料库语言学的文献中得到了广泛的讨论,但很少-如果有的话-在基于语料库的翻译研究中。通过一项小规模的研究,比较了英语翻译文本和非翻译文本的语料库中重复出现的词汇模式的频率和分布,探讨了基于语料库的翻译研究中的一些方法论问题,并提出了不同的解释方法。
Corpus-based research throws up a number of methodological challenges. Many of these are evident in any type of research which attempts to compare authentic data of any kind, but the difficulties are accentuated by the availability of vast amounts of data in this case. In particular, questions relating to how one selects the features to be compared and, more importantly, how the findings may be interpreted, invite us to elaborate our methodology far more explicitly than in other types of research. The accessibility of the same body of data to other researchers also means that (a) the findings can be assessed and challenged in other studies, and (b) other researchers can invoke different, and perhaps more plausible explanations of the same findings by appealing to parameters that may have been downplayed or ignored in previous studies. These issues have been extensively debated in the literature on corpus linguistics, but rarely - if ever - in the context of corpus-based translation studies. A small-scale study involving comparisons between corpora of translated and non-translated texts in English in terms of frequency and distribution of recurring lexical patterns is used to examine some methodological issues in corpus-based translation research and suggest different ways in which the same findings may be interpreted depending on the variables on which individual researchers choose to focus.