SwiLTra-Bench: The Swiss Legal Translation Benchmark
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Abstract (arXiv)
In Switzerland legal translation is uniquely important due to the country's four official languages and requirements for multilingual legal documentation. However, this process traditionally relies on professionals who must be both legal experts and skilled translators -- creating bottlenecks and impacting effective access to justice. To address this challenge, we introduce SwiLTra-Bench, a comprehensive multilingual benchmark of over 180K aligned Swiss legal translation pairs comprising laws, headnotes, and press releases across all Swiss languages along with English, designed to evaluate LLM-based translation systems. Our systematic evaluation reveals that frontier models achieve superior translation performance across all document types, while specialized translation systems excel specifically in laws but under-perform in headnotes. Through rigorous testing and human expert validation, we demonstrate that while fine-tuning open SLMs significantly improves their translation quality, they still lag behind the best zero-shot prompted frontier models such as Claude-3.5-Sonnet. Additionally, we present SwiLTra-Judge, a specialized LLM evaluation system that aligns best with human expert assessments.
Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 30 of its 87 references that are in the map. First posted on arXiv 3 Mar 2025.
Builds on
30 of 87 references.
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18 more
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Built on by
Citing papers per year: 2025: 6; 2026: 5.
11 papers.
- 2025MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluationcited by 79
- 2025LEXam: Benchmarking Legal Reasoning on 340 Law Examscited by 54
- 2025GreekBarBench: A Challenging Benchmark for Free-Text Legal Reasoning and Citationscited by 15
- 2025Is Small Language Model the Silver Bullet to Low-Resource Languages Machine Translation?cited by 5
- 2025Expanding the WMT24++ Benchmark with Rumantsch Grischun, Sursilvan, Sutsilvan, Surmiran, Puter, and Valladercited by 4
- 2025TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Lawcited by 2
- 2026Translation Asymmetry in LLMs as a Data Augmentation Factor: A Case Study for 6 Romansh Language Varietiescited by 2
- 2026Swiss-Bench SBP-002: A Frontier Model Comparison on Swiss Legal and Regulatory Taskscited by 1
- 2026Swiss-Bench 003: Evaluating LLM Reliability and Adversarial Security for Swiss Regulatory Contextscited by 0
- 2026Reasoning Before Translation: Enhancing Legal Machine Translation with Structured Reasoningcited by 0
- 2026Swiss4Arg: A Parallel Dataset for Multilingual Argument Mining across Swiss National Languagescited by 0
- 2026Swiss4Arg: A Parallel Dataset for Multilingual Argument Mining across Swiss National Languages13 Oct 2026
- 2026Reasoning Before Translation: Enhancing Legal Machine Translation with Structured Reasoning21 Jul 2026
- 2026Swiss-Bench 003: Evaluating LLM Reliability and Adversarial Security for Swiss Regulatory Contexts7 Apr 2026
- 2026Translation Asymmetry in LLMs as a Data Augmentation Factor: A Case Study for 6 Romansh Language Varieties26 Mar 2026
- 2026Swiss-Bench SBP-002: A Frontier Model Comparison on Swiss Legal and Regulatory Tasks24 Mar 2026
- 2025Expanding the WMT24++ Benchmark with Rumantsch Grischun, Sursilvan, Sutsilvan, Surmiran, Puter, and Vallader3 Sep 2025
- 2025TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Law1 Jul 2025
- 2025GreekBarBench: A Challenging Benchmark for Free-Text Legal Reasoning and Citations22 May 2025
- 2025LEXam: Benchmarking Legal Reasoning on 340 Law Exams19 May 2025
- 2025Is Small Language Model the Silver Bullet to Low-Resource Languages Machine Translation?31 Mar 2025
- 2025MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation13 Mar 2025