German dialects are the various traditional local varieties of the German language. Though varied by region, those of the southern half of Germany beneath the Benrath line are dominated by the geographical spread of the High German consonant shift, and the dialect continuum that connects German to the neighboring varieties of Low Franconian (Dutch) and Frisian.
The varieties of German are conventionally grouped into Upper German, Central German and Low German; Upper and Central German form the High German subgroup. Standard German is a standardized form of High German, developed in the early modern period based on a combination of Central German and Upper German varieties.
Traditionally, all of the major dialect groupings of German dialects are typically named after so-called "stem duchies" or "tribal duchies" (German: Stammesherzogtümer) by early German linguists, among whom the Brothers Grimm were especially influential. These tribal duchies came into existence at the end of the Early Middle Ages within the Holy Roman Empire and were thought to have been continuations of earlier tribal lands which were subjugated by the Franks and incorporated into their realm at the close of the Migration Period.
For example, the Germanic tribe of the Bavarii (subjugated by the Franks during the 6th century) gave their name to the later stem duchy of Bavaria (817–1180), which itself would lend its name to the traditional Bavarian dialect grouping described in the early 19th century.
As their understanding of the Second Germanic consonant shift progressed, linguists (when applicable) further divided these dialects into groupings based on their degree of participation of this consonant shift, with "Lower" (German: nieder-) signifying little to no participation, "Middle" (German: mittel-) meaning medium to high participation and Upper (German: ober-) conveying high to full participation.
Because the 19th-century classification nomenclature was based primarily on historical territories rather than linguistic clusters, the traditional system can imply greater similarities between dialects than is linguistically warranted.
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Association for Computational Linguistics (ACL)2019
Text summarization is considered as a challenging task in the NLP community. The availability of datasets for the task of multilingual text summarization is rare, and such datasets are difficult to construct. In this work, we build an abstract text summari ...