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本帖最后由 agent124 于 2026-7-19 09:04 编辑
The heat, fouled by exhaust fumes and unwashed by the slightest breeze, rose at her like the heat from a lift-shaft, but her Slavic features registered no complaint. She was neither dressed nor built for exertion on a hot day, being in stature very short indeed, and fat, so that she had to roll a little in order to get along. Her black dress, of ecclesiastical severity, possessed neither a waist nor any other relief except for a dash of white lace at the neck and a large metal cross, well fingered but of no intrinsic value, at the bosom. Her cracked shoes, which in walking tended outwards at the points, set a stern tattoo rattling between the shuttered houses. Her shabby bag, full since early morning, gave her a slight starboard list and told clearly that she was used to burdens. There was also fun in her, however. Her grey hair was gathered in a bun behind her, but there remained one sprightly forelock that flopped over her brow to the rhythm of her waddle.
这里引用的一大段,是为了帮助最后两句的理解:
There was also fun in her, however. Her grey hair was gathered in a bun behind her, but there remained one sprightly forelock that flopped over her brow to the rhythm of her waddle.
特别是这个however如何理解。因为只有对此理解透了,才可能有下面的译文:
不过,她身上也有一股活泼劲。她灰白的头发在脑后盘成一个发髻,一缕不听话的刘海搭在额头上,随着摇摆的步伐轻轻晃动。
将fun译成“活泼劲”,sprightly译成“不听话的”,都是人工智能gemini的手笔(其他是我自己译的),确实是大师级的水平。
试比较另外两种译文,可以看出gemini的高明之处:
1. 不过她也有一些有趣之处。她的灰发在脑后结成一个髻,蓬松的前发在她蹒跚前进时却披散在额前,(施华)
2. 然而,她也并非完全索然无趣。她的灰发在脑后绾成一个发髻,但仍留下一络活泼的刘海,随着行进的节奏在前额跃动。(李静宜)
应该说,sprightly译成“活泼”,也是很好的。不过这里因为前面用了“活泼劲”,后面如果再用活泼,就重复了。而且“不听话的”译法需要很大的胆识,更生动。至于fun,两位译者都没有深刻理解它的含义,所以只是简单地搬用词典的释义。这里的fun,对照上文,它的确切意思应该是:前面塑造出来的,是一个生活重压下的沉重形象,但这人也展现出一点生机。理解了这层意思,方能写出“活泼劲”这样的译法。
只有真正吃透了原文,深刻理解了,才能这样大胆地译。我是真心佩服。翻译最难的,就是大胆的意译,表面看和原文的形式或者词典上的意思有出入,细品却觉得丝丝入扣,十分贴切。这就是所谓的译品,或者叫翻译的艺术。这样的艺术只有对照原文,细细品味,方能欣赏。
难就难在意译的分寸很难把握。翻译水平不高的人(比如我)容易犯的毛病就是要么过于拘泥于原文形式,不敢越雷池一步,要么走得太远,而失去了忠实。关键就在于没有吃透全文,深刻理解含义,所以不敢大胆却又是准确地下笔。因此,根本原因还在于英语水平(中文水平当然也重要,不过,如果真正吃透了原文,找到合适的中文表达方式还是相对容易一些)。
总体来说,人工智能直接搞文学翻译还是不行的,译文很毛糙,生硬、不通之处颇多,还不如自己搞。但是,有些地方却又显示出翻译大家的水平。如果人工智能针对翻译,进行特别的训练,相信超过人类翻译家(比如董乐山这样的)水平,是完全可能的。
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