| 4 |
The FAIR Index of CMC Corpora
|
|
|
|
In: CMC Corpora through the prism of Digital Humanities ; https://hal.archives-ouvertes.fr/hal-03121698 ; CMC Corpora through the prism of Digital Humanities, 2020 (2020)
|
|
BASE
|
|
Show details
|
|
|
| 5 |
Using data mining to repurpose German language corpora. An evaluation of data-driven analysis methods for corpus linguistics ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 6 |
LEONIDE - Longitudinal Learner Corpus in Italiano, Deutsch and English 1.1
|
|
|
|
BASE
|
|
Show details
|
|
|
| 7 |
Using data mining to repurpose German language corpora. An evaluation of data-driven analysis methods for corpus linguistics
|
|
|
|
BASE
|
|
Show details
|
|
|
| 8 |
Wie misst man Textqualität im digitalen Zeitalter? : (MIT.Qualität)
|
|
|
|
In: Enthalten in: Neues vom heutigen Deutsch (2019)
|
|
IDS Mannheim
|
|
|
| 9 |
DIDI - The DiDi Corpus of South Tyrolean CMC 1.0.0
|
|
|
|
Abstract:
The DiDi corpus has an overall size of around 600.000 Tokens gathered from 136 South Tyrolean Facebook users who participated in the DiDi project. It consists of 11.102 Facebook wall posts, 6.507 wall comments and 22.218 private messages. All messages were written by the participants throughout the year 2013. Please read the fulldescription of the corpus for further details. Please consider also the description of the method of data collection and the full description of the DiDi project and its research questions. As every participant could offer either his/her private messages, his/her texts on the wall or both, the corpus comprises wall posts and wall comments from 130 profiles and private messages of 56 profiles; 50 participants granted access to both types of data. Free access to the corpus is given to the wall posts and comments. Due to privacy issues the access to the private messages is restricted. Access to the private messages can be given for scientific research only, after signing a non-disclosure agreement. In case you are interested in the data for scientific reasons, please contact the research team. All texts were anonymised in order to guarantee that the participants' identity cannnot be infered from the texts. The anonymisation included person names, group names, geographical names and adjectival references, institution names, hyperlinks, mail addresses, phone numbers, numbers of bank accounts, servers, postal codes and other private information. Please, read the anonymisation document for the anonymisation keys. The corpus offers a vast range of research opportunities for linguists that are interested in CMC in general, and more specific in multilingual language use, the use of regional varieties, code switching, code shifting and code mixing phenomena, etc. Access to the DiDi corpus: https://commul.eurac.edu/annis/didi
|
|
Keyword:
Chat; CMC; Comment; Computer-mediated Communication; Dialect; Facebook; Instant Messaging; Multilingualism; Social Media; Social Networking Sites; South Tyrol; Status Updates
|
|
URL: https://hdl.handle.net/20.500.12124/7
|
|
BASE
|
|
Hide details
|
|
|
| 11 |
Collecting language data of non-public social media profiles
|
|
|
|
BASE
|
|
Show details
|
|
|
|
|
