1 |
Text+: Language- and text-based Research Data Infrastructure ...
|
|
|
|
BASE
|
|
Show details
|
|
2 |
Text+: Language- and text-based Research Data Infrastructure ...
|
|
|
|
Abstract:
Text+ aims to develop a research data infrastructure for Humanities disciplines and beyond whose primary research focus is on language and text. Text+ will be flexible, scalable, and thus open for different discipline-specific requirements. By offering easy access to high quality research data, Text+ will support a maximum of methodological diversity, which in turn is a prerequisite for innovative and transdisciplinary research. Text+ focuses on Collections, Lexical Resources and Editions. These data domains have a long tradition of research and are linked to mature methodological paradigms that require distinctive but also cross-disciplinary practices of data generation, curation and management. The three types of research data are indispensable for a wide range of Humanities disciplines, including, but not limited to, Classical Philology, Linguistics, Literary Studies, Social and Cultural Anthropology, Non-European Cultures, Jewish Studies and Religious Studies, Philosophy, and language- and text-based ...
|
|
Keyword:
Collections; corpora; digital humanities; Editions; humanities; Infrastructure/Operations; language; language documentation; Lexical Resources; multimodality; Nationale Forschungdateninfrastruktur; NFDI; philologies; research data infrastructure; research data management; spoken language; test; Text+; Textplus; written language
|
|
URL: https://zenodo.org/record/6451707 https://dx.doi.org/10.5281/zenodo.6451707
|
|
BASE
|
|
Hide details
|
|
3 |
Text+: Language- and text-based Research Data Infrastructure ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Komponenten-basierte Metadatenschemata und Facetten-basierte Suche ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
Komponenten-basierte Metadatenschemata und Facetten-basierte Suche ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
All that glitters is not gold : a gold standard of adjective-noun collocations for German
|
|
|
|
BASE
|
|
Show details
|
|
7 |
Semantic modelling of adjective-noun collocations using FrameNet
|
|
|
|
BASE
|
|
Show details
|
|
8 |
No Word is an Island—A Transformation Weighting Model for Semantic Composition
|
|
|
|
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 437-451 (2019) (2019)
|
|
BASE
|
|
Show details
|
|
9 |
Digitale Forschungsinfrastrukturen für die Sprachwissenschaften
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Connecting Resources: Which Issues Have to be Solved to Integrate CMC Corpora from Heterogeneous Sources and for Different Languages?
|
|
|
|
In: 5th Conference on CMC and Social Media Corpora for the Humanities (cmccorpora17) ; https://hal.archives-ouvertes.fr/hal-01918880 ; 5th Conference on CMC and Social Media Corpora for the Humanities (cmccorpora17), Oct 2017, Bolzano, Italy. pp.52-55 ; https://doi.org/10.5281/zenodo.1040713 (2017)
|
|
BASE
|
|
Show details
|
|
12 |
Connecting Resources: Which Issues Have To Be Solved To Integrate Cmc Corpora From Heterogeneous Sources And For Different Languages? ...
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Connecting Resources: Which Issues Have To Be Solved To Integrate Cmc Corpora From Heterogeneous Sources And For Different Languages? ...
|
|
|
|
BASE
|
|
Show details
|
|
14 |
Integrating optical character recognition and machine translation of historical documents
|
|
|
|
In: Afli, Haithem orcid:0000-0002-7449-4707 and Way, Andy orcid:0000-0001-5736-5930 (2016) Integrating optical character recognition and machine translation of historical documents. In: COLING, the 26th International Conference on Computational Linguistics, 13-16 Dec 2016, Osaka, Japan. (2016)
|
|
BASE
|
|
Show details
|
|
18 |
Introduction to the Special Issue [Computational, cognitive, and linguistic approaches to the analysis of compounds and collocations]
|
|
|
|
BASE
|
|
Show details
|
|
19 |
Accurate linear-time Chinese word segmentation via embedding matching
|
|
|
|
BASE
|
|
Show details
|
|
20 |
Automatic noun compound interpretation using deep neural networks and word embeddings
|
|
|
|
BASE
|
|
Show details
|
|
|
|