Core Viewpoint - The article discusses the challenges and advancements in AI translation, particularly focusing on the cultural nuances that AI struggles to comprehend, highlighting the importance of human translators in bridging these gaps [2][4][16]. Group 1: Cultural Nuances in Language - In Papua New Guinea, the Awa people view the liver as the center of emotions, contrasting with the common belief that the heart serves this role, illustrating the deep cultural differences that complicate translation [2][4]. - AI translation models, such as ChatGPT and Gemini, predominantly rely on English data, which constitutes over 90% of their training sets, leading to an "algorithmic hegemony" that biases understanding towards English logic [6][11]. Group 2: AI Translation Limitations - AI models often misinterpret low-resource languages due to a lack of available data, resulting in significant translation inaccuracies and potential semantic deviations [6][12]. - The phenomenon of "AI hallucination" occurs when AI generates incorrect translations, particularly in ambiguous texts like the New Testament, where it may guess meanings rather than accurately convey them [11][12]. Group 3: The Role of Human Translators - Despite advancements in AI, human translators remain essential for understanding cultural contexts and nuances that AI cannot grasp, such as specific idiomatic expressions [15][16]. - Organizations like IllumiNations utilize AI to expedite translation processes but emphasize that human oversight is crucial for correcting cultural blind spots and ensuring accurate translations [15]. Group 4: Future of Translation - The goal of translating the Bible into every language by 2033 represents a significant challenge that highlights the need for collaboration between AI and human translators, as language is deeply personal and culturally specific [16]. - AI is reshaping the landscape of language learning and translation, but it cannot fully replace the human touch required for nuanced understanding and communication [16].
AI翻译的「最后一公里」
创业邦·2025-12-16 10:09