Converter for content-to-head style syntactic dependencies (ICPSR doi:10.11588/data/HE3BAZ)

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Part 2: Study Description
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Document Description

Citation

Title:

Converter for content-to-head style syntactic dependencies

Identification Number:

doi:10.11588/data/HE3BAZ

Distributor:

heiDATA

Date of Distribution:

2020-03-26

Version:

1

Bibliographic Citation:

Rehbein, Ines; Steen, Julius; Do, Bich-Ngoc; Frank, Anette, 2020, "Converter for content-to-head style syntactic dependencies", https://doi.org/10.11588/data/HE3BAZ, heiDATA, V1

Study Description

Citation

Title:

Converter for content-to-head style syntactic dependencies

Identification Number:

doi:10.11588/data/HE3BAZ

Authoring Entity:

Rehbein, Ines (Leibniz Institute for the German Language)

Steen, Julius (Department of Computational Linguistics, Heidelberg University)

Do, Bich-Ngoc (Department of Computational Linguistics, Heidelberg University)

Frank, Anette (Department of Computational Linguistics, Heidelberg University)

Date of Production:

2017

Distributor:

heiDATA

Date of Distribution:

2020-03-26

Study Scope

Keywords:

Arts and Humanities, Computer and Information Science, Universal Dependency, syntactic parsing, dependency parsing, annotation

Topic Classification:

Annotation science, Comparison of annotation frameworks, Preprocessing for syntactic parsing

Abstract:

A set of Python scripts that convert function-head style encodings in dependency treebanks in a content-head style encoding (as used in the UD treebanks) and vice versa (for adpositions, copula and coordination). For more information, see (Rehbein, Steen, Do & Frank 2017).

Kind of Data:

python scripts

Methodology and Processing

Other Study-Related Materials

Label:

convert.zip

Notes:

application/zip

Other Study-Related Materials

Label:

readme.txt

Notes:

text/plain