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Solving the Unsolvable: Translating Case Law in Hong Kong

  • King-kui Sin*
  • , Xi Xuan
  • , Chunyu Kit*
  • , Clara Ho-yan Chan
  • , Honic Ho-kin Ip
  • *Corresponding author for this work

Research output: Working PapersPreprint

Abstract

This paper addresses the challenges translating case law under Hong Kong's bilingual legal system. It highlights the initial success of translating all written statutes into Chinese before the 1997 handover, a task mandated by the Basic Law. The effort involved significant collaboration among legal, linguistic, and translation experts, resulting in a comprehensive and culturally appropriate bilingual legal system. However, translating case law remains a significant challenge due to the sheer volume and continuous growth of judicial decisions. The paper critiques the government's and judiciary's sporadic and uncoordinated efforts to translate case law, contrasting it with the thorough approach previously taken for statute translation. Although the government acknowledges the importance of legal bilingualism, it lacks a sustainable strategy for translating case law. The Judiciary's position—that translating all judgments is "unnecessary, unrealistic, and not cost-effective"—is analyzed and critiqued for its impact on legal transparency and public trust. A proposed solution involves leveraging machine translation technology through a human-machine interactive translation platform, which undergoes two major transitions. Initially based on a neural model, the platform transitions to using a large language model for improved translation accuracy. Furthermore, it evolves from a single-agent system to a multi-agent system, incorporating Translator, Annotator, and Proofreader agents. This multi-agent approach, supported by a grant, aims to facilitate efficient, high-quality translation of judicial judgments by integrating advanced artificial intelligence and continuous feedback mechanisms, thus better meeting the needs of a bilingual legal system.
Original languageEnglish
PublisherarXiv
Pages1-34
Number of pages34
DOIs
Publication statusPublished - 16 Jan 2025

Bibliographical note

Research Unit(s) information for this publication is provided by the author(s) concerned.

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