本研究旨在评估主流机器翻译软件在科技论文翻译中的表现,并探讨译后编辑策略的有效性。研究通过案例分析法,对市场上几种主流机器翻译软件翻译的科技文本译文进行了深入评估。分析重点包括专有名词的误译、词汇选择的适当性、复杂句式...本研究旨在评估主流机器翻译软件在科技论文翻译中的表现,并探讨译后编辑策略的有效性。研究通过案例分析法,对市场上几种主流机器翻译软件翻译的科技文本译文进行了深入评估。分析重点包括专有名词的误译、词汇选择的适当性、复杂句式的处理以及译文对原文结构的依赖程度。研究结果表明,虽然机器翻译在提高翻译效率方面具有显著优势,但其译文在准确性和流畅性方面仍存在不足。针对发现的问题,本文提出了一系列译后编辑建议,旨在优化翻译质量。This study aims to evaluate the performance of the main machine translation software in translating scientific and technical papers and to explore the effectiveness of post-editing strategies. The study selected several mainstream machine translation software in the market and evaluated the translation results in depth through the case study method. The analysis focuses on the mistranslation of proper nouns, the appropriateness of vocabulary selection, the handling of complex sentences, and the degree of dependence of the translated text on the structure of the original text. The findings show that although machine translation has significant advantages in improving translation efficiency, its translations still have deficiencies in terms of accuracy and fluency. In response to the problems identified, this paper proposes a series of post-editing suggestions aimed at optimizing translation quality.展开更多
近些年来,国内移民热持续高涨,根据最新《2022年世界移民报告》显示,中国位列移民流出国第四。这给负责移民申请材料的翻译工作者带来了巨大挑战,无论在数量还是速度上。如今在先进人工智能和大数据技术的助力下,机器翻译译后编辑(MTPE...近些年来,国内移民热持续高涨,根据最新《2022年世界移民报告》显示,中国位列移民流出国第四。这给负责移民申请材料的翻译工作者带来了巨大挑战,无论在数量还是速度上。如今在先进人工智能和大数据技术的助力下,机器翻译译后编辑(MTPE)模式能够有效提高移民翻译从业者的工作速度和翻译质量,进而提高翻译效率。文章尝试讨论机器翻译译后编辑模式在移民材料翻译中的运用,结合自身在国内知名移民网站“移民内参”(www.immiknow.com)的翻译实践,总结出一些常用的译后编辑方法与策略,以希为翻译工作提供便捷高效的译后编辑技巧,提高移民申请材料的通过率与完成效率。In recent years, migration to foreign countries has becoming increasingly popular in China. Accord-ing to the latest World Migration Report 2022, China is ranked as the fourth largest country of emi-gration, which poses a huge challenge to translators responsible for translating emigration applica-tion documents, both in volume and speed. Nowadays, with the assistance of advanced technologies like artificial intelligence and big data;however, post-editing of machine translation (MTPE) can ef-fectively accelerate the translation of emigration application documents and improve translation quality, thus improving the work efficiency of translators. The paper tries to discuss the application of MTPE in the translation of emigration materials, and summarize some common post-editing methods and strategies learned from the author’s translating experience in the well-known domes-tic emigration platform “Immiknow” (www.immiknow.com), expecting to provide efficient post-editing techniques, and then improve the efficiency of the emigration application work as well as the acceptance for applicants.展开更多
以Web of Science作为数据来源,对2011−2020年国外在机器翻译译后编辑这一领域的相关研究进行分析,阐述其研究热点及未来发展趋势,总结出国外学者研究热点,包括译后编辑与完全人工翻译的比较,静态译后编辑与交互式译后编辑的优劣,译后...以Web of Science作为数据来源,对2011−2020年国外在机器翻译译后编辑这一领域的相关研究进行分析,阐述其研究热点及未来发展趋势,总结出国外学者研究热点,包括译后编辑与完全人工翻译的比较,静态译后编辑与交互式译后编辑的优劣,译后编辑所耗精力预测及译后编辑标准和原则等话题,并由此推断未来该领域将会在神经机器翻译的译后编辑、文学内容的译后编辑以及译后编辑者应具备的能力等方面展开更加深入的探讨。本研究旨在通过分析国外研究的热点与发展趋势为国内相关研究提供新视角和新方法。展开更多
文摘本研究旨在评估主流机器翻译软件在科技论文翻译中的表现,并探讨译后编辑策略的有效性。研究通过案例分析法,对市场上几种主流机器翻译软件翻译的科技文本译文进行了深入评估。分析重点包括专有名词的误译、词汇选择的适当性、复杂句式的处理以及译文对原文结构的依赖程度。研究结果表明,虽然机器翻译在提高翻译效率方面具有显著优势,但其译文在准确性和流畅性方面仍存在不足。针对发现的问题,本文提出了一系列译后编辑建议,旨在优化翻译质量。This study aims to evaluate the performance of the main machine translation software in translating scientific and technical papers and to explore the effectiveness of post-editing strategies. The study selected several mainstream machine translation software in the market and evaluated the translation results in depth through the case study method. The analysis focuses on the mistranslation of proper nouns, the appropriateness of vocabulary selection, the handling of complex sentences, and the degree of dependence of the translated text on the structure of the original text. The findings show that although machine translation has significant advantages in improving translation efficiency, its translations still have deficiencies in terms of accuracy and fluency. In response to the problems identified, this paper proposes a series of post-editing suggestions aimed at optimizing translation quality.
文摘一、研究背景和意义机器翻译(MT,Machine Translation)作为高效的自动翻译技术,已被越来越多的行业采纳。它利用计算机算法和语言模型,快速、大批量生成译文,使语言转换效率大大提升。但是,目前机器翻译生成的译文仍存在诸多问题,需要人工干涉,加以纠正和完善,译后编辑的重要性也就凸显出来。译后编辑(PEMT,Post-editing of Machine Translation)从狭义上来说,指通过人工修改机器翻译的译文,优化译文质量。将译后编辑实践教学融入西汉翻译教学有多重意义。
文摘近些年来,国内移民热持续高涨,根据最新《2022年世界移民报告》显示,中国位列移民流出国第四。这给负责移民申请材料的翻译工作者带来了巨大挑战,无论在数量还是速度上。如今在先进人工智能和大数据技术的助力下,机器翻译译后编辑(MTPE)模式能够有效提高移民翻译从业者的工作速度和翻译质量,进而提高翻译效率。文章尝试讨论机器翻译译后编辑模式在移民材料翻译中的运用,结合自身在国内知名移民网站“移民内参”(www.immiknow.com)的翻译实践,总结出一些常用的译后编辑方法与策略,以希为翻译工作提供便捷高效的译后编辑技巧,提高移民申请材料的通过率与完成效率。In recent years, migration to foreign countries has becoming increasingly popular in China. Accord-ing to the latest World Migration Report 2022, China is ranked as the fourth largest country of emi-gration, which poses a huge challenge to translators responsible for translating emigration applica-tion documents, both in volume and speed. Nowadays, with the assistance of advanced technologies like artificial intelligence and big data;however, post-editing of machine translation (MTPE) can ef-fectively accelerate the translation of emigration application documents and improve translation quality, thus improving the work efficiency of translators. The paper tries to discuss the application of MTPE in the translation of emigration materials, and summarize some common post-editing methods and strategies learned from the author’s translating experience in the well-known domes-tic emigration platform “Immiknow” (www.immiknow.com), expecting to provide efficient post-editing techniques, and then improve the efficiency of the emigration application work as well as the acceptance for applicants.
文摘以Web of Science作为数据来源,对2011−2020年国外在机器翻译译后编辑这一领域的相关研究进行分析,阐述其研究热点及未来发展趋势,总结出国外学者研究热点,包括译后编辑与完全人工翻译的比较,静态译后编辑与交互式译后编辑的优劣,译后编辑所耗精力预测及译后编辑标准和原则等话题,并由此推断未来该领域将会在神经机器翻译的译后编辑、文学内容的译后编辑以及译后编辑者应具备的能力等方面展开更加深入的探讨。本研究旨在通过分析国外研究的热点与发展趋势为国内相关研究提供新视角和新方法。
