Syntactic Tree Inventories from English GUM UD Corpus (v2.15)

Name: Syntactic Tree Inventories from English GUM UD Corpus (v2.15)
License: https://creativecommons.org/licenses/by/4.0/

Dobrovoljc, Kaja

Syntactic Tree Inventories from English GUM UD Corpus (v2.15)

CLARIN.SI data & tools

Authors: Dobrovoljc, Kaja

Item identifier: http://hdl.handle.net/11356/2036

Project URL: https://spot.ff.uni-lj.si/

Date issued: 2025-05-26

Type: lexicalConceptualResource, text

Language(s): English

Description: This dataset contains lists of delexicalized dependency trees and subtrees extracted from the English UD GUM corpus, version 2.15 (http://hdl.handle.net/11234/1-5787), using the STARK tool (https://github.com/clarinsi/STARK). These lists represent a basic inventory of syntactic structures in English, supporting data-driven investigations into syntactic patterns and their variation across modalities. The GUM corpus was divided into spoken and written subsets based on the original genre classifications. The spoken subset includes interviews, conversations, podcasts, vlogs, courtroom transcripts, and speeches, while the written subset includes news articles, academic texts, fiction, how-to guides, biographies, essays, letters, textbooks, and travel guides. Each structure is represented as a fixed-order labeled dependency tree or subtree with UPOS tags as nodes (e.g., ADJ <amod NOUN). For each of the two subcorpora (spoken and written), structures were extracted in three versions (1) The full version (2) A version excluding punctuation (i.e., branches labeled as punct) (3) A version excluding disfluencies (i.e., branches labeled as punct, reparandum, or discourse) The extracted structures are provided in tabular TSV format. Each row contains: * The delexicalized tree/subtree (e.g., ADJ <amod NOUN) * Its absolute and relative frequency in the target corpus (e.g., GUM-spoken) * An example (e.g., nice <amod example) * Frequency in the corresponding reference corpus (e.g., GUM-written) * Keyness measures for modality-based comparison (e.g., LL, Odds Ratio, %DIFF)