How do Language Agents Perform in Translating Long-Text Novels? Meet TransAgents: A Multi-Agent Framework Using LLMs to Tackle the Complexities of Literary Translation

Machine translation (MT) has made impressive progress in recent years, driven by breakthroughs in deep learning and neural networks. However, the challenge of literary translations for MT systems is difficult to solve. Literary texts, known for their complex language, figurative expressions, cultural variations, and unique feature styles, create problems that are hard for machines to […]

The post How do Language Agents Perform in Translating Long-Text Novels? Meet TransAgents: A Multi-Agent Framework Using LLMs to Tackle the Complexities of Literary …

agent agents ai paper summary ai shorts applications artificial intelligence challenge complexities deep learning editors pick framework however language language model large language model llms machine machine translation multi-agent networks neural networks progress solve staff systems tech news technology text translation translations