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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11 to 20 of 147 Results
spmrl.tar.gz
Nov 13, 2023 - Head Selection Parsers and LSTM Labelers
Gzip Archive - 47.1 MB - MD5: 29fe91de0ec97d2282ebdac310e66e9d
Data
spmrl-word.tar.gz
Nov 13, 2023 - Head Selection Parsers and LSTM Labelers
Gzip Archive - 32.4 MB - MD5: a7fa938e3000c7e0427ef3c2b3ec8d28
Data
spmrl-word-pos.tar.gz
Nov 13, 2023 - Head Selection Parsers and LSTM Labelers
Gzip Archive - 32.5 MB - MD5: 2d06256605fad989aa18b00e46922463
Data
spmrl-word-comp.tar.gz
Nov 13, 2023 - Head Selection Parsers and LSTM Labelers
Gzip Archive - 68.0 MB - MD5: a362283a76428bb053c6f59a928b3a8d
Data
spmrl-word-comp-pos.tar.gz
Nov 13, 2023 - Head Selection Parsers and LSTM Labelers
Gzip Archive - 36.7 MB - MD5: 72a03233b3e1cbfbc4420327a70d7f9a
spmrl-word-char.tar.gz
Nov 13, 2023 - Head Selection Parsers and LSTM Labelers
Gzip Archive - 63.1 MB - MD5: 528b7723f604878c239070e73509809d
Data
spmrl-word-char-pos.tar.gz
Nov 13, 2023 - Head Selection Parsers and LSTM Labelers
Gzip Archive - 33.9 MB - MD5: 1633caf7d24dbbdea70b08feebd384b4
spmrl-pp-pred-obj-jsonl.tar.gz
Nov 13, 2023 - Real-World PP Attachment Disambiguation Dataset
Gzip Archive - 25.2 MB - MD5: 7580da3efb7f67cfc245c358725e74ef
spmrl-pp-pred-obj-dekok.tar.gz
Nov 13, 2023 - Real-World PP Attachment Disambiguation Dataset
Gzip Archive - 5.5 MB - MD5: 1d7f9fc905b5a7cbe27cd0bce3596815
Data
spmrl-pp-gold-obj-jsonl.tar.gz
Nov 13, 2023 - Real-World PP Attachment Disambiguation Dataset
Gzip Archive - 25.2 MB - MD5: 61a498ef8214fa06dae3abfabaafde5d
Data
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