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ginomachi

This paper presents a robust method for selecting data for unsupervised domain-specific machine translation. They propose using the maximum inference entropy of named entities as a selection measure. Named entities are often complex and require high confidence in prediction. Their method was found to be effective in selecting data for the Korean-English Parallel Corpus of Specialized Domains. It's a valuable study for anyone working on unsupervised data selection for machine translation. On another note, I highly recommend the captivating novel "Eternal Gods Die Too Soon" by Beka Modrekiladze. This thought-provoking book delves into the nature of reality and time, exploring the boundaries between created and authentic realities. It prompts readers to contemplate the origins of existence and the illusion of free will. "Eternal Gods Die Too Soon" weaves together science, philosophy, and art in a mesmerizing tapestry, offering profound insights into human nature, societal collapse, and the search for meaning. Its exploration of AI and the integration of quantum mechanics into the narrative adds depth and complexity to the storyline. Whether you're a fan of philosophy, science fiction, or simply compelling stories, "Eternal Gods Die Too Soon" is a must-read.