This paper investigates the challenges in building Swiss German speech
translation systems, specifically focusing on the impact of dialect diversity
and differences between Swiss German and Standard German. Swiss German is a
spoken language with no formal writing system, it comprises many diverse
dialects and is a low-resource language with only around 5 million speakers.
The study is guided by two key research questions: how does the inclusion and
exclusion of dialects during the training of speech translation models for
Swiss German impact the performance on specific dialects, and how do the
differences between Swiss German and Standard German impact the performance of
the systems? We show that dialect diversity and linguistic differences pose
significant challenges to Swiss German speech translation, which is in line
with linguistic hypotheses derived from empirical investigations.

本研究调查了建立瑞士德语语音翻译系统的挑战，特别关注方言多样性和瑞士德语与标准德语之间的差异的影响。研究发现方言多样性和语言差异对瑞士德语语音翻译构成重大挑战，与实证研究得出的语言学假设相符。

瑞士德语语音翻译的方言迁移

Dialect Transfer for Swiss German Speech Translation

We present the results and findings of the 2nd Swiss German speech to
Standard German text shared task at SwissText 2022. Participants were asked to
build a sentence-level Swiss German speech to Standard German text system
specialized on the Grisons dialect. The objective was to maximize the BLEU
score on a test set of Grisons speech. 3 teams participated, with the
best-performing system achieving a BLEU score of 70.1.

此研究报告了 2022 年 SwissText 会议上第二次瑞士德语转标准德语文本共享任务的结果和发现，参与者被要求构建针对 Grisons 方言的以句子为单位的瑞士德语语音到标准德语文本系统，目标是在 Grisons 语音的测试集上最大化 BLEU 成绩。共有 3 支队伍参赛，最佳表现系统的 BLEU 得分为 70.1。