Evaluating In-Context Translation with Synchronous Context-Free Grammar Transduction

Low-resource languages pose a challenge for machine translation with large language models (LLMs), which require large amounts of training data. One potential way to circumvent this data dependence is to rely on LLMs&rsquo; ability to use in-context descriptions of languages, like textbooks and dictionaries. To do so, LLMs must be able to infer the link between the languages&rsquo; grammatical…