Empirical Linguistics and Computational Language Modeling (LiMo)

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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31 to 40 of 184 Results

spmrl-word-char.tar.gz Nov 13, 2023 - Head Selection Parsers and LSTM Labelers Gzip Archive - 63.1 MB - MD5: 528b7723f604878c239070e73509809d 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-comp.tar.gz Nov 13, 2023 - Head Selection Parsers and LSTM Labelers Gzip Archive - 68.0 MB - MD5: a362283a76428bb053c6f59a928b3a8d 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.tar.gz Nov 13, 2023 - Head Selection Parsers and LSTM Labelers Gzip Archive - 32.4 MB - MD5: a7fa938e3000c7e0427ef3c2b3ec8d28 Data
Neural Rerankers for Dependency Parsing Nov 13, 2023 - Neural Techniques for German Dependency Parsing Do, Bich-Ngoc; Rehbein, Ines, 2023, "Neural Rerankers for Dependency Parsing", https://doi.org/10.11588/data/NNGPQZ, heiDATA, V1 This resource contains code for different types of neural rerankers (RCNN, RCNN-shared and GCN) from the paper: Do and Rehbein (2020). "Neural Reranking for Dependency Parsing: An Evaluation". We also include in this resource the pre-trained models of different rerankers on 3 lan...
cs-gcn.tar.gz Nov 13, 2023 - Neural Rerankers for Dependency Parsing Gzip Archive - 64.5 MB - MD5: c9066cb993f7f932b4dd3b2f57ab0df8
cs-rcnn-shared.tar.gz Nov 13, 2023 - Neural Rerankers for Dependency Parsing Gzip Archive - 58.0 MB - MD5: 271f2b6ad94a1b3a5b5c37db948d0b7d Data
de-gcn.tar.gz Nov 13, 2023 - Neural Rerankers for Dependency Parsing Gzip Archive - 72.6 MB - MD5: 932ba4a18453cb66131e05b0a5296b59 Data
de-rcnn-shared.tar.gz Nov 13, 2023 - Neural Rerankers for Dependency Parsing Gzip Archive - 36.5 MB - MD5: fe026cd97d3f3853cf31bae9251fcbf5

spmrl-word-char.tar.gz

Nov 13, 2023 - Head Selection Parsers and LSTM Labelers

Gzip Archive - 63.1 MB -

Data

spmrl-word-comp-pos.tar.gz

Nov 13, 2023 - Head Selection Parsers and LSTM Labelers

Gzip Archive - 36.7 MB -

spmrl-word-comp.tar.gz

Nov 13, 2023 - Head Selection Parsers and LSTM Labelers

Gzip Archive - 68.0 MB -

Data

spmrl-word-pos.tar.gz

Nov 13, 2023 - Head Selection Parsers and LSTM Labelers

Gzip Archive - 32.5 MB -

Data

spmrl-word.tar.gz

Nov 13, 2023 - Head Selection Parsers and LSTM Labelers

Gzip Archive - 32.4 MB -

Data

Neural Rerankers for Dependency Parsing

Nov 13, 2023 - Neural Techniques for German Dependency Parsing

Do, Bich-Ngoc; Rehbein, Ines, 2023, "Neural Rerankers for Dependency Parsing", https://doi.org/10.11588/data/NNGPQZ, heiDATA, V1

This resource contains code for different types of neural rerankers (RCNN, RCNN-shared and GCN) from the paper: Do and Rehbein (2020). "Neural Reranking for Dependency Parsing: An Evaluation". We also include in this resource the pre-trained models of different rerankers on 3 lan...

cs-gcn.tar.gz

Nov 13, 2023 - Neural Rerankers for Dependency Parsing

Gzip Archive - 64.5 MB -

cs-rcnn-shared.tar.gz

Nov 13, 2023 - Neural Rerankers for Dependency Parsing

Gzip Archive - 58.0 MB -

Data

de-gcn.tar.gz

Nov 13, 2023 - Neural Rerankers for Dependency Parsing

Gzip Archive - 72.6 MB -

Data

de-rcnn-shared.tar.gz

Nov 13, 2023 - Neural Rerankers for Dependency Parsing

Gzip Archive - 36.5 MB -

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