6 pages, 1 figure, 2 tables. To be published in: Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC 2020). Marseille, France. For project reports and to obtain the dictionary see http://tiny.uzh.ch/11X
We introduce a dictionary containing forms of common words in various Swiss German dialects normalized into High German. As Swiss German is, for now, a predominantly spoken language, there is a significant variation in the written forms, even between speakers of the same dialect. To alleviate the uncertainty associated with this diversity, we complement the pairs of Swiss German - High German words with the Swiss German phonetic transcriptions (SAMPA). This dictionary becomes thus the first resource to combine large-scale spontaneous translation with phonetic transcriptions. Moreover, we control for the regional distribution and insure the equal representation of the major Swiss dialects. The coupling of the phonetic and written Swiss German forms is powerful. We show that they are sufficient to train a Transformer-based phoneme to grapheme model that generates credible novel Swiss German writings. In addition, we show that the inverse mapping - from graphemes to phonemes - can be modeled with a transformer trained with the novel dictionary. This generation of pronunciations for previously unknown words is key in training extensible automated speech recognition (ASR) systems, which are key beneficiaries of this dictionary.
Does Whisper understand Swiss German? An automatic, qualitative, and human evaluation
Linguistics Center Zurich（苏黎世语言学中心）；German Department（德语系）；University of Zurich（苏黎世大学）；Department of Computational Linguistics（计算语言学系）；Phonetics & Speech Sciences（语音与言语科学系）
本文通过自动指标、定性分析和28人人工调查，在四个测试集上评估 Whisper 对瑞士德语的转写表现，证明其可作为输出标准德语的可行 ASR 系统。
STT4SG-350: A Speech Corpus for All Swiss German Dialect Regions
University of Applied Sciences and Arts Northwestern Switzerland（瑞士西北应用科学与艺术大学）；Zurich University of Applied Sciences（苏黎世应用科学大学）；University of Zurich（苏黎世大学）
Subtitle-Aligned Fine-Tuning of Whisper for Swiss German ASR: Benchmark Contamination, Convention Mismatch, and an Honest Baseline at 25.6% WER (13.8% cWER)
Independent Researcher, Zurich, Switzerland（独立研究员，瑞士苏黎世）；ETH Zürich（苏黎世联邦理工学院）；University of Bern（伯尔尼大学）；FHNW（西北应用科学与艺术大学）；CeTIM Leiden/Munich（CeTIM 莱顿/慕尼黑）
Automatic Creation of Text Corpora for Low-Resource Languages from the Internet: The Case of Swiss German
iCoSys Institute, University of Applied Sciences and Arts Western Switzerland（瑞士西部应用科学与艺术大学iCoSys研究所）；University of Fribourg（弗里堡大学）；Swisscom AG（瑞士电信公司）
SDS-200: A Swiss German Speech to Standard German Text Corpus
University of Applied Sciences and Arts Northwestern Switzerland（西北瑞士应用科学与艺术大学）；Zurich University of Applied Sciences（苏黎世应用科学大学）；SpinningBytes AG（SpinningBytes公司）
How Do Lexical Senses Correspond Between Spoken German and German Sign Language?
Institute for Computational Linguistics, University of Heidelberg（计算语言学研究所，海德堡大学）；Department of Computing Science, University of Aberdeen（计算机科学系，阿伯丁大学）
