5 |
Survey of business sectors hiring linguists and language professionals ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
Survey of business sectors hiring linguists and language professionals ...
|
|
|
|
BASE
|
|
Show details
|
|
9 |
ASR for Non-standardised Languages with Dialectal Variation: the case of Swiss German ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
A Swiss German Dictionary: Variation in Speech and Writing ...
|
|
|
|
BASE
|
|
Show details
|
|
11 |
XML-Encoding of a spoken Serbian corpus targeting forms of address
|
|
|
|
In: Lemmenmeier-Batinić, Dolores; Ljubešić, Nikola; Samardžić, Tanja (2020). XML-Encoding of a spoken Serbian corpus targeting forms of address. In: Conference on Language Technologies & Digital Humanities, Ljubljana, 24 September 2020 - 25 September 2020, 127-130. (2020)
|
|
BASE
|
|
Show details
|
|
18 |
ArchiMob: Ein multidialektales Korpus schweizerdeutscher Spontansprache
|
|
|
|
In: Linguistik Online; Bd. 98 Nr. 5 (2019): Alemannische Dialektologie – Forschungsstand und Perspektiven. Sonderheft; 425-454 ; Linguistik Online; Vol. 98 No. 5 (2019): Alemannische Dialektologie – Forschungsstand und Perspektiven. Sonderheft; 425-454 ; 1615-3014 (2019)
|
|
Abstract:
Although Swiss dialects of German are widely used in everyday communication, 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 transcribed 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 dialectological, historical and computational research. We then describe how the documents were transcribed, segmented and aligned with the sound source, and summarise a series of experiments that have led to automatically annotated normalisation and part-of-speech tagging layers. Finally, we present several case studies to stimulate the use of the corpus for dialectological research.
|
|
URL: https://bop.unibe.ch/linguistik-online/article/view/5947 https://doi.org/10.13092/lo.98.5947
|
|
BASE
|
|
Hide details
|
|
20 |
Universal Dependencies 2.2
|
|
|
|
In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018)
|
|
BASE
|
|
Show details
|
|
|
|