Digitising Swiss German: how to process and study a polycentric spoken language.

Swiss dialects of German are, unlike many dialects of other standardised languages, widely used in everyday communication. Despite this fact, automatic processing of Swiss German is still a considerable challenge due to the fact that it is mostly a spoken variety and that it is subject to considerab...

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Publicado en:Language Resources & Evaluation Vol. 53; no. 4; pp. 735 - 770
Autores principales: Scherrer, Yves, Samardžić, Tanja, Glaser, Elvira
Formato: Artículo
Publicado: Springer Nature Dec2019
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        10.1007/s10579-019-09457-5
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          Scherrer, Yves
          Samardžić, Tanja
          Glaser, Elvira
        affil:
          Department of Digital Humanities, University of Helsinki, Helsinki, Finland
          Language and Space Lab, URPP Language and Space, University of Zurich, Zurich, Switzerland
          Department of German, University of Zurich, Zurich, Switzerland
      su:
        Bible
        Oral communication
        Manual labor
        Oral history
        Digital humanities
        German dialects
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        subj:
          Bible
          Oral communication
          Manual labor
          Oral history
          Digital humanities
          German dialects
      keyword:
        Corpus
        Dialectology
        Dialectometry
        Non-standard language
        Normalisation
        Speech-to-text alignment
        Spoken language
        Swiss German
        Word level annotation
      ab: Swiss dialects of German are, unlike many dialects of other standardised languages, widely used in everyday communication. Despite this fact, automatic processing of Swiss German is still a considerable challenge due to the fact that it is mostly a spoken variety and that it is subject to considerable regional variation. This paper presents the ArchiMob corpus, a freely available general-purpose corpus of spoken Swiss German based on oral history interviews. The corpus is a result of a long design process, intensive manual work and specially adapted computational processing. We first present the modalities of access of the corpus for linguistic, historic and computational research. We then describe how the documents were transcribed, segmented and aligned with the sound source. This work involved a series of experiments that have led to automatically annotated normalisation and part-of-speech tagging layers. Finally, we present several case studies to motivate the use of the corpus for digital humanities in general and for dialectology in particular.
      pubtype: Academic Journal
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    language: English
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      custom: Language Resources & Evaluation is a copyright of Springer, 2019. All Rights Reserved.
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      holder: Springer Nature
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