Data publications of the Leibniz ScienceCampus “Empirical Linguistics and Computational Language Modeling”

The Leibniz ScienceCampus “Empirical Linguistics and Computational Language Modeling” (LiMo) is a cooperative research project between the Leibniz Institute for the German Language (Leibniz-Institut für Deutsche Sprache, IDS) in Mannheim and the Department of Computational Linguistics at Heidelberg University (ICL). The general aims of the project are to develop new methods, models, and tools for compiling and analysing automatically large German textual corpora covering different domains, genres and language varieties.

The project is supported by funds from the Baden-Württemberg Ministry of Science, Research and the Arts and the Leibniz Association together with funds provided by the Leibniz Institute for the German Language and Heidelberg University.

Funding Period: 2015 – 2020

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61 to 70 of 147 Results
README.md
Nov 13, 2023 - Topological Field Labeler for German
Markdown Text - 82 B - MD5: 6f6c9146cb4bb5767db27672dcc6103f
Documentation
README.md
Nov 13, 2023 - Topological Field Labeler for German
Markdown Text - 1.6 KB - MD5: 2a078316007f36baa4b210e0a36b3d87
Documentation
README.md
Nov 13, 2023 - Topological Field Labeler for German
Markdown Text - 921 B - MD5: c4bbdbb55fad1730284e64cb7f8ef374
Documentation
README.md
Nov 13, 2023 - Topological Field Labeler for German
Markdown Text - 191 B - MD5: aae903db5c9404cdac6749870f60d871
Documentation
split1024328679_marmot.tar.gz
Nov 13, 2023 - Topological Field Labeler for German
Gzip Archive - 12.0 MB - MD5: 6f6801a3ebd9219101df9cf961cc9ced
Data
split1024328679.tar.gz
Nov 13, 2023 - Topological Field Labeler for German
Gzip Archive - 11.4 MB - MD5: f47e047cf4e5bf05276145630601fa91
Data
topological-field-labeler.zip
Nov 13, 2023 - Topological Field Labeler for German
ZIP Archive - 32.4 KB - MD5: 3bf4fe4ba2daaade0ae9c765233145c3
Code
biaffine-parser.zip
Nov 13, 2023 - Neural Dependency Parser with Biaffine Attention and BERT Embeddings
ZIP Archive - 46.4 KB - MD5: 727dde9bcf6285b968ebbccc5459674b
Code
embeddings.tar.gz
Nov 13, 2023 - Neural Dependency Parser with Biaffine Attention and BERT Embeddings
Gzip Archive - 40.5 MB - MD5: 2256cc7718eb340cdf0941dd8e41db9e
Data
README.md
Nov 13, 2023 - Neural Dependency Parser with Biaffine Attention and BERT Embeddings
Markdown Text - 173 B - MD5: b317b632c241daa4019d63ecd3f5d938
Documentation
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